{
 "spxi_instrument": {
  "method": "0.9",
  "name": "Capture Registry (longitudinal observation)",
  "level": 0,
  "level_name": "Measurement",
  "url": "https://www.spxi.dev/methods/#m-0-9",
  "inventory": "https://www.spxi.dev/methods/",
  "statement": "SPXI instrument: method 0.9 of 87, level 0 (Measurement), Capture Registry (longitudinal observation).",
  "also": []
 },
 "slug": "problematic-paper-screener-aio-20261029",
 "date": "2026-10-29",
 "surface": "Google AI Overview",
 "surface_basis": "Operator default of 2026-10-01 (runs begin in the Overview unless he says AI Mode); the 'AI Mode Conversation' paste is the Overview expanded (operator, 2026-10-18).",
 "surfaces": [
  "Google AI Overview"
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 "auth": "signed out, incognito",
 "auth_basis": "Operator default of 2026-10-14.",
 "ev": "paste",
 "mt": "THE PROBLEMATIC PAPER SCREENER ON THE OVERVIEW — THE THREE MAKERS, THE DETECTORS, PUBPEER; ADOPTION BY EPISCIENCES AND SIGNALS",
 "match": "BROAD MATCH",
 "match_note": null,
 "s": "Machine Reception",
 "q": "problematic paper screener",
 "q_kind": "the name of an entity of the MMRS meta-aggregator (Problematic Paper Screener; record https://www.machinemediation.org/aggregators/problematic-paper-screener/, compiled 2026-10-28), run at the operator's offer on 2026-10-29 to supply the composition layer's account of the entity for its record and its /non row. A baseline: the record landed on machinemediation.org the same night (commit 8997e28) and no card cites it. NEW address.",
 "cites": 6,
 "cite_list": [
  {
   "n": 1,
   "site": "Institut de Recherche en Informatique de Toulouse - IRIT",
   "rel": "third_party",
   "url": null,
   "title": "PPS – Problematic Paper Screener",
   "snip": "Tool: Problematic Paper Screener (PPS) screens scientific literature for problematic publications using data APIs (Crossref/Retraction Watch, Dimensions, PubMed...",
   "note": null
  },
  {
   "n": 2,
   "site": "The Conversation",
   "rel": "third_party",
   "url": null,
   "title": "Problematic Paper Screener: Trawling for fraud in the scientific literature",
   "snip": "Tool Overview: Problematic Paper Screener developed by Guillaume Cabanac scans 130 million scholarly papers weekly across nine detectors to identify fraudulent ...",
   "note": null
  },
  {
   "n": 3,
   "site": "arXiv",
   "rel": "third_party",
   "url": null,
   "title": "[2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment",
   "snip": "Platform: Problematic Paper Screener (online platform for literature curation). Authors: Guillaume Cabanac, Cyril Labbé, Alexander Magazinov. Function: Automati...",
   "note": null
  },
  {
   "n": 4,
   "site": "Research Signals",
   "rel": "third_party",
   "url": null,
   "title": "Problematic Paper Screener: a new signal to help protect research integrity – Signals",
   "snip": "Integration: Problematic Paper Screener added to Signals Graph by Signals Team. Scope: Over 12,000 unretracted problematic publications flagged via automatic ma...",
   "note": null
  },
  {
   "n": 5,
   "site": "ccsd.cnrs.fr",
   "rel": "third_party",
   "url": null,
   "title": "Episciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD",
   "snip": "Jul 3, 2026 — The PPS is a tool designed to identify and filter out potentially problematic scientific articles, such as those containing methodological ...",
   "note": null
  },
  {
   "n": 6,
   "site": "YouTube·Crossref",
   "rel": "third_party",
   "url": null,
   "title": "Exploring Retraction Watch Data in Crossref 2025-05-09",
   "snip": null,
   "note": "video, 31m"
  }
 ],
 "archive_controlled_cites": 0,
 "transcript": "[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14), 2026-10-29. The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards that follow the answer); the 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted. The closing disclaimer cut.]\n\n[QUERENT] problematic paper screener\n\n[SYSTEM] The Problematic Paper Screener (PPS) is an online platform and automated screening tool developed by Guillaume Cabanac, Cyril Labbé, and Alexander Magazinov to detect fraudulent, error-filled, or computer-generated scientific literature. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-), [2](https://www.google.com/goto?url=CAESWAHrOzAVdPdG6ZcwF_9hiFNiBbYAQmKr64ty8LbDt-8GilFnBTP7ja3lhKBrLFBF4D9Fy-amU5uCUNafRpaNJDrayo9BIOLRhai-oribmAcea0MqsmZMjyk)]\nWhat It Detects\nPPS scans millions of scholarly papers using data APIs (such as Crossref, Dimensions, PubMed, and PubPeer) across several specialized detectors: [[1](https://www.google.com/goto?url=CAESpQEB6zswFYTNqhkmwOB_WpwElKixQzAgPEG430q65mypNNf9yrzASxZaXfauIKpghtOPsZvu6I289NGdwfTpFLF0cB57Cg2tbXOzmp3a9_sXWoaLcnrEhev2pFp36AiybcmCmgqdQMxavoLs3qzY8ZvBWbo_z9-wjZSuewyYuZi9SDbliJbm6Thpkxd43HJZbWves0EU79VqwjXH6CTf_13EUniGtyo), [2](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-)]\n\n* Tortured Phrases: Identifies nonsensical paraphrased terms (e.g., \"counterfeit consciousness\" instead of \"artificial intelligence\") used by paper mills to bypass plagiarism checkers. [[1](https://www.google.com/goto?url=CAESagHrOzAVdihLDpY-GrqzAs2cidfr9A6E0xEA5NsCdiT1k6bmGfNl4ZUfMvaXyXg3lDpaGPoWjW5VyXD8Ho7iBXaem40fdSQgVUj5HO5jPNKOK-BTrfzFiaAVyayoS8RpjlbjPPrsh5VbX0c), [2](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-)]\n* Computer-Generated Gibberish: Flags texts produced by automated paper generators like SCIgen and Mathgen. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-)]\n* AI/LLM Fingerprints: Detects unedited AI-generated text patterns (such as ChatGPT remnants). [[1](https://www.google.com/goto?url=CAESpQEB6zswFYTNqhkmwOB_WpwElKixQzAgPEG430q65mypNNf9yrzASxZaXfauIKpghtOPsZvu6I289NGdwfTpFLF0cB57Cg2tbXOzmp3a9_sXWoaLcnrEhev2pFp36AiybcmCmgqdQMxavoLs3qzY8ZvBWbo_z9-wjZSuewyYuZi9SDbliJbm6Thpkxd43HJZbWves0EU79VqwjXH6CTf_13EUniGtyo)]\n* Feet of Clay (Retracted References): Tracks active or unretracted papers that improperly cite previously retracted works, expressions of concern, or withdrawn articles. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-), [2](https://www.google.com/goto?url=CAESagHrOzAVdihLDpY-GrqzAs2cidfr9A6E0xEA5NsCdiT1k6bmGfNl4ZUfMvaXyXg3lDpaGPoWjW5VyXD8Ho7iBXaem40fdSQgVUj5HO5jPNKOK-BTrfzFiaAVyayoS8RpjlbjPPrsh5VbX0c)]\n\nHow It Works & Impact\n\n* Combination Approach: It pairs automated machine-detection algorithms with human post-publication review. [[1](https://www.google.com/goto?url=CAESWAHrOzAVdPdG6ZcwF_9hiFNiBbYAQmKr64ty8LbDt-8GilFnBTP7ja3lhKBrLFBF4D9Fy-amU5uCUNafRpaNJDrayo9BIOLRhai-oribmAcea0MqsmZMjyk)]\n* Reporting: Flagged papers are often automatically shared or logged on platforms like PubPeer and Pepia to alert editors, publishers, and the research community. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-), [2](https://www.google.com/goto?url=CAESagHrOzAVdihLDpY-GrqzAs2cidfr9A6E0xEA5NsCdiT1k6bmGfNl4ZUfMvaXyXg3lDpaGPoWjW5VyXD8Ho7iBXaem40fdSQgVUj5HO5jPNKOK-BTrfzFiaAVyayoS8RpjlbjPPrsh5VbX0c)]\n* Adoption: The tool has been integrated into editorial workflows, repository platforms (such as Episciences), and analytics frameworks (such as Signals Graph) to help scrub the scientific record of fabricated or corrupted studies. [[1](https://www.google.com/goto?url=CAESewHrOzAVdgRI6xW5dtQ02z6LRxaRnfusy1FeCyq8zi6RS1pJsOmxzZYHLttYgYLJFXU3eaKKVKJBkfSEu5hehC-0gdJN5kXqW9Y3WVrHFs5-H0illGRlauqKoBDO0ozdoe4U0vgz9vrt03Vz6ULeZAapK_OW7RrJcSCTtg), [2](https://www.google.com/goto?url=CAESvAEB6zswFV-brn59UpZ0PxIrTzGUbqK7vxWA2X8DKXvY9zxXG1aJXnr9OcV8GXrmZkb6-s0nFnWBVL4S2cPTDL01B5-b1FZIIrkLOlhWF1jB3qkXkd283bVPGhddUaNWlQyLmlZyPz57TEARXfqDijOrk7ehNbsbEUGlY2ID8YPkBo2itUL3pMkjbRe6MTrO8fOJHqN2QFjaMkBdTBVYlfwAxkSCUe6QZ9pa3bDnLMMaRHtzHyXrVd9oN8eAbQ), [3](https://www.google.com/goto?url=CAESpQEB6zswFYTNqhkmwOB_WpwElKixQzAgPEG430q65mypNNf9yrzASxZaXfauIKpghtOPsZvu6I289NGdwfTpFLF0cB57Cg2tbXOzmp3a9_sXWoaLcnrEhev2pFp36AiybcmCmgqdQMxavoLs3qzY8ZvBWbo_z9-wjZSuewyYuZi9SDbliJbm6Thpkxd43HJZbWves0EU79VqwjXH6CTf_13EUniGtyo)]\n\nWould you like to explore how to use the tool to check specific references or learn more about how publishers handle tortured phrases?\nInstitut de Recherche en Informatique de Toulouse - IRIT\nPPS – Problematic Paper Screener\nTool: Problematic Paper Screener (PPS) screens scientific literature for problematic publications using data APIs (Crossref/Retraction Watch, Dimensions, PubMed...\nThe Conversation\nProblematic Paper Screener: Trawling for fraud in the scientific literature\nTool Overview: Problematic Paper Screener developed by Guillaume Cabanac scans 130 million scholarly papers weekly across nine detectors to identify fraudulent ...\narXiv\n[2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment\nPlatform: Problematic Paper Screener (online platform for literature curation). Authors: Guillaume Cabanac, Cyril Labbé, Alexander Magazinov. Function: Automati...\nResearch Signals\nProblematic Paper Screener: a new signal to help protect research integrity – Signals\nIntegration: Problematic Paper Screener added to Signals Graph by Signals Team. Scope: Over 12,000 unretracted problematic publications flagged via automatic ma...\nccsd.cnrs.fr\nEpisciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD\nJul 3, 2026 — The PPS is a tool designed to identify and filter out potentially problematic scientific articles, such as those containing methodological ...\nYouTube·Crossref\n31m\nExploring Retraction Watch Data in Crossref 2025-05-09",
 "transcript_raw": "The Problematic Paper Screener (PPS) is an online platform and automated screening tool developed by Guillaume Cabanac, Cyril Labbé, and Alexander Magazinov to detect fraudulent, error-filled, or computer-generated scientific literature. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-), [2](https://www.google.com/goto?url=CAESWAHrOzAVdPdG6ZcwF_9hiFNiBbYAQmKr64ty8LbDt-8GilFnBTP7ja3lhKBrLFBF4D9Fy-amU5uCUNafRpaNJDrayo9BIOLRhai-oribmAcea0MqsmZMjyk)]\nWhat It Detects\nPPS scans millions of scholarly papers using data APIs (such as Crossref, Dimensions, PubMed, and PubPeer) across several specialized detectors: [[1](https://www.google.com/goto?url=CAESpQEB6zswFYTNqhkmwOB_WpwElKixQzAgPEG430q65mypNNf9yrzASxZaXfauIKpghtOPsZvu6I289NGdwfTpFLF0cB57Cg2tbXOzmp3a9_sXWoaLcnrEhev2pFp36AiybcmCmgqdQMxavoLs3qzY8ZvBWbo_z9-wjZSuewyYuZi9SDbliJbm6Thpkxd43HJZbWves0EU79VqwjXH6CTf_13EUniGtyo), [2](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-)]\n\n* Tortured Phrases: Identifies nonsensical paraphrased terms (e.g., \"counterfeit consciousness\" instead of \"artificial intelligence\") used by paper mills to bypass plagiarism checkers. [[1](https://www.google.com/goto?url=CAESagHrOzAVdihLDpY-GrqzAs2cidfr9A6E0xEA5NsCdiT1k6bmGfNl4ZUfMvaXyXg3lDpaGPoWjW5VyXD8Ho7iBXaem40fdSQgVUj5HO5jPNKOK-BTrfzFiaAVyayoS8RpjlbjPPrsh5VbX0c), [2](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-)]\n* Computer-Generated Gibberish: Flags texts produced by automated paper generators like SCIgen and Mathgen. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-)]\n* AI/LLM Fingerprints: Detects unedited AI-generated text patterns (such as ChatGPT remnants). [[1](https://www.google.com/goto?url=CAESpQEB6zswFYTNqhkmwOB_WpwElKixQzAgPEG430q65mypNNf9yrzASxZaXfauIKpghtOPsZvu6I289NGdwfTpFLF0cB57Cg2tbXOzmp3a9_sXWoaLcnrEhev2pFp36AiybcmCmgqdQMxavoLs3qzY8ZvBWbo_z9-wjZSuewyYuZi9SDbliJbm6Thpkxd43HJZbWves0EU79VqwjXH6CTf_13EUniGtyo)]\n* Feet of Clay (Retracted References): Tracks active or unretracted papers that improperly cite previously retracted works, expressions of concern, or withdrawn articles. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-), [2](https://www.google.com/goto?url=CAESagHrOzAVdihLDpY-GrqzAs2cidfr9A6E0xEA5NsCdiT1k6bmGfNl4ZUfMvaXyXg3lDpaGPoWjW5VyXD8Ho7iBXaem40fdSQgVUj5HO5jPNKOK-BTrfzFiaAVyayoS8RpjlbjPPrsh5VbX0c)]\n\nHow It Works & Impact\n\n* Combination Approach: It pairs automated machine-detection algorithms with human post-publication review. [[1](https://www.google.com/goto?url=CAESWAHrOzAVdPdG6ZcwF_9hiFNiBbYAQmKr64ty8LbDt-8GilFnBTP7ja3lhKBrLFBF4D9Fy-amU5uCUNafRpaNJDrayo9BIOLRhai-oribmAcea0MqsmZMjyk)]\n* Reporting: Flagged papers are often automatically shared or logged on platforms like PubPeer and Pepia to alert editors, publishers, and the research community. [[1](https://www.google.com/goto?url=CAESegHrOzAV8ssH4YuyzXH-7jZ7r8lC6wdexvCc9-qv_KPvpoq3ZevVQuluv6m4iFgagWOAzfdrjSDU9sBa4KnwCfM110wNvcA72Z6qELjoCCaGHCiRCuu9-XYqJWH-bItiV3x10sXCAtDY9zv0KgnnNBzC485GHu5AdaL-), [2](https://www.google.com/goto?url=CAESagHrOzAVdihLDpY-GrqzAs2cidfr9A6E0xEA5NsCdiT1k6bmGfNl4ZUfMvaXyXg3lDpaGPoWjW5VyXD8Ho7iBXaem40fdSQgVUj5HO5jPNKOK-BTrfzFiaAVyayoS8RpjlbjPPrsh5VbX0c)]\n* Adoption: The tool has been integrated into editorial workflows, repository platforms (such as Episciences), and analytics frameworks (such as Signals Graph) to help scrub the scientific record of fabricated or corrupted studies. [[1](https://www.google.com/goto?url=CAESewHrOzAVdgRI6xW5dtQ02z6LRxaRnfusy1FeCyq8zi6RS1pJsOmxzZYHLttYgYLJFXU3eaKKVKJBkfSEu5hehC-0gdJN5kXqW9Y3WVrHFs5-H0illGRlauqKoBDO0ozdoe4U0vgz9vrt03Vz6ULeZAapK_OW7RrJcSCTtg), [2](https://www.google.com/goto?url=CAESvAEB6zswFV-brn59UpZ0PxIrTzGUbqK7vxWA2X8DKXvY9zxXG1aJXnr9OcV8GXrmZkb6-s0nFnWBVL4S2cPTDL01B5-b1FZIIrkLOlhWF1jB3qkXkd283bVPGhddUaNWlQyLmlZyPz57TEARXfqDijOrk7ehNbsbEUGlY2ID8YPkBo2itUL3pMkjbRe6MTrO8fOJHqN2QFjaMkBdTBVYlfwAxkSCUe6QZ9pa3bDnLMMaRHtzHyXrVd9oN8eAbQ), [3](https://www.google.com/goto?url=CAESpQEB6zswFYTNqhkmwOB_WpwElKixQzAgPEG430q65mypNNf9yrzASxZaXfauIKpghtOPsZvu6I289NGdwfTpFLF0cB57Cg2tbXOzmp3a9_sXWoaLcnrEhev2pFp36AiybcmCmgqdQMxavoLs3qzY8ZvBWbo_z9-wjZSuewyYuZi9SDbliJbm6Thpkxd43HJZbWves0EU79VqwjXH6CTf_13EUniGtyo)]\n\nWould you like to explore how to use the tool to check specific references or learn more about how publishers handle tortured phrases?\nInstitut de Recherche en Informatique de Toulouse - IRIT\nPPS – Problematic Paper Screener\nTool: Problematic Paper Screener (PPS) screens scientific literature for problematic publications using data APIs (Crossref/Retraction Watch, Dimensions, PubMed...\nThe Conversation\nProblematic Paper Screener: Trawling for fraud in the scientific literature\nTool Overview: Problematic Paper Screener developed by Guillaume Cabanac scans 130 million scholarly papers weekly across nine detectors to identify fraudulent ...\narXiv\n[2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment\nPlatform: Problematic Paper Screener (online platform for literature curation). Authors: Guillaume Cabanac, Cyril Labbé, Alexander Magazinov. Function: Automati...\nResearch Signals\nProblematic Paper Screener: a new signal to help protect research integrity – Signals\nIntegration: Problematic Paper Screener added to Signals Graph by Signals Team. Scope: Over 12,000 unretracted problematic publications flagged via automatic ma...\nccsd.cnrs.fr\nEpisciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD\nJul 3, 2026 — The PPS is a tool designed to identify and filter out potentially problematic scientific articles, such as those containing methodological ...\nYouTube·Crossref\n31m\nExploring Retraction Watch Data in Crossref 2025-05-09",
 "transcript_class": "CAPTURE-TIME VERBATIM RECORD — paste of the expanded Overview with its source cards",
 "transcript_complete": "complete as supplied",
 "transcript_read": "READ IN FULL 2026-10-29",
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 "per_note": "Cabanac, Labbé and Magazinov named; IRIT; arXiv:2210.04895 on a card; the screener's own page cited.",
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 "reading": "The innocent reading first. The Overview gives the makers, what the screener reads, what it detects and how flagged papers are reviewed, and who has adopted it.",
 "analysis": "The screener is composed at its makers' grain, with its human review stage stated and its uptake by publishers' infrastructure added.",
 "d": "THE PROBLEMATIC PAPER SCREENER, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'an online platform and automated screening tool developed by Guillaume Cabanac, Cyril Labbé, and Alexander Magazinov'; its data sources (Crossref, Dimensions, PubMed, PubPeer); four detectors given (tortured phrases, SCIgen and Mathgen, AI fingerprints, Feet of Clay); automated detection with human post-publication review; flagged papers logged on PubPeer; adoption by Episciences and Signals Graph. Six cards: IRIT, The Conversation, the arXiv paper (2210.04895), Research Signals, CCSD (Episciences, 3 July 2026), a Crossref video.",
 "d_full": "THE PROBLEMATIC PAPER SCREENER, BY NAME, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'an online platform and automated screening tool developed by Guillaume Cabanac, Cyril Labbé, and Alexander Magazinov'; its data sources (Crossref, Dimensions, PubMed, PubPeer); four detectors given (tortured phrases, SCIgen and Mathgen, AI fingerprints, Feet of Clay); automated detection with human post-publication review; flagged papers logged on PubPeer; adoption by Episciences and Signals Graph. Six cards: IRIT, The Conversation, the arXiv paper (2210.04895), Research Signals, CCSD (Episciences, 3 July 2026), a Crossref video.",
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 "links": [
  {
   "url": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/",
   "authority": "canonical",
   "note": "the capture's own record page; cite this form"
  },
  {
   "url": "https://www.alexanarch.org/captures/#problematic-paper-screener-aio-20261029",
   "authority": "gallery",
   "note": "the canonical gallery, anchored by slug"
  },
  {
   "url": "https://www.godkinggoogle.com/captures/#problematic-paper-screener-aio-20261029",
   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
  },
  {
   "url": "https://www.leesharks.com/captures/#problematic-paper-screener-aio-20261029",
   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
  },
  {
   "url": "https://www.machinemediation.org/captures/#problematic-paper-screener-aio-20261029",
   "authority": "mirror",
   "note": "a window that renders from the archive's registry; may lag a deploy"
  }
 ],
 "imgs": [],
 "img_urls": [],
 "cite": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/",
 "citable_unit": "address — the exact issued string on one surface, per the Surface Rule (MANUS, 2026-08-15)",
 "addr_id": "ADDR-296c127e05a9",
 "obs_id": "OBS-9180ce10e2aa",
 "n_observations": 1,
 "observations": [],
 "dates": [
  "2026-10-29"
 ],
 "defects": [],
 "findings": [
  "THE MAKERS AND DETECTORS RIGHT. The three names, the sources and the detectors are the IRIT page's and the record's. Checked 2026-10-29 against the MMRS meta-aggregator record of 2026-10-28 and the entity's own pages, re-read the same day.",
  "'COUNTERFEIT CONSCIOUSNESS'. The example of a tortured phrase for 'artificial intelligence' is the composition's; the record's example, from The Conversation, is 'Joined Together States' for 'United States'. Not checked against the screener's list.",
  "ADOPTION, NEW TO THE RECORD. Episciences (CCSD, 3 July 2026) and Signals Graph ('over 12,000 unretracted problematic publications flagged') are uptake the record lacked."
 ],
 "series": null,
 "other_slugs": null,
 "collisions": null,
 "oq": null,
 "rounds": null,
 "turns": 1,
 "rerun": null,
 "rerun_alt": null,
 "heteronym": null,
 "model_attribution": null,
 "operator_disclosure": null,
 "longitudinal_priors": null,
 "longitudinal_successors": null,
 "related_deposits": [],
 "intended": null,
 "originator": {
  "name": "Guillaume Cabanac, Cyril Labbé, Alexander Magazinov",
  "relation": "external",
  "entity_type": "dataset",
  "spxi_treatment": "partial",
  "basis": "Not the archive's: Problematic Paper Screener, run by Guillaume Cabanac, Cyril Labbé, Alexander Magazinov. Formalized by the MMRS meta-aggregator record of 2026-10-28 (https://www.machinemediation.org/aggregators/problematic-paper-screener/), editor Lee Sharks; the record's fields are read from the entity's own pages with source and basis. Recorded 2026-10-29."
 },
 "notes": {
  "prompts": "One query. Sent by the operator on 2026-10-29 with nineteen others, one per entity of the MMRS meta-aggregator, at his offer to run them: 'ill run captures if you want, just list the semantic addresses'."
 },
 "notice": null,
 "axn_root": "AXN:0AB5.CAPTURE",
 "axn": "AXN:0AB5.CAPTURE.🏔️💡🎆🟤✨♠️",
 "record_url": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/"
}