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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,914 results · 1 filter active ·
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,914 works in the cohort · of 4,299,418page 13 of 39

Labels cover 1,914 of 1,914 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,914 of 1,914 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

venueno affgemma · metaresearch+scholarly_communicationgpt · research_integrity+scholarly_communicationmodels split
Predatory journal publishing: Is this an alternate universe?
Edward J. Harvey, Chad G. Ball
2021· editorial· en· Canadian Journal of Surgery· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
23
citations
affgemma · bibliometrics+metaresearchgpt · metaresearch+bibliometrics+scholarly_communicationmodels split
Co‐saved, co‐tweeted, and co‐cited networks
Fereshteh Didegah, Mike Thelwall
2018· article· en· Journal of the Association for Information Science and Technology· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
21
citations
affgemma · metaresearchgpt · no categorymodels split
Can ChatGPT be trusted to provide reliable estimates?
Panagiotis Tsigaris, Jaime A. Teixeira da Silva
2023· letter· en· Accountability in Research· Computer Science
machine prediction:candidate · metaresearchconsensus · none
21
citations
affgemma · metaresearchgpt · metaresearchmodels agree
Reporting Guideline for Chatbot Health Advice Studies
Bright Huo, Gary S. Collins, David Chartash, Arun James Thirunavukarasu, Annette Flanagin, Alfonso Iorio +39 more
2025· article· en· JAMA Network Open· Psychology
machine prediction:candidate · metaresearchconsensus · metaresearch
21
citations
affgemma · metaresearch+research_integritygpt · metaresearch+research_integritymodels agree
Research Integrity definitions and challenges
Anna Catharina Vieira Armond, Kelly D. Cobey, David Moher
2024· article· en· Journal of Clinical Epidemiology· Health Professions
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
21
citations
affgemma · metaresearchgpt · no categorymodels split
A Systematic Review of Surgical Randomized Controlled Trials
Sophocles H. Voineskos, Christopher J. Coroneos, Natalia Ziolkowski, Manraj Kaur, Laura Banfield, Maureen O. Meade +3 more
2016· review· en· Plastic & Reconstructive Surgery· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · metaresearch+metaepi_broadconsensus · none
21
citations
aboutno affgemma · metaresearch+research_integritygpt · research_integritymodels split
Research misconduct in the UK
Fiona Godlee, Elizabeth Wager
2012· letter· en· BMJ· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
20
citations
affgemma · metaresearch+metaepi_narrow+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
Abbreviated and comprehensive literature searches led to identical or very similar effect estimates: a meta-epidemiological study
Hannah Ewald, Irma Klerings, Gernot Wagner, Thomas L. Heise, Andreea Dobrescu, Susan Armijo‐Olivo +6 more
2020· review· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
20
citations
afffundgemma · metaresearch+open_sciencegpt · open_sciencemodels split
Guilt-free data reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
2017· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · open_scienceconsensus · none
20
citations
affgemma · metaresearch+research_integritygpt · metaresearch+open_science+research_integritymodels split
IMPACT Observatory: tracking the evolution of clinical trial data sharing and research integrity
Karmela Krleža-Jerić, Mirko Gabelica, Rita Banzi, Marina Krnić-Martinić, Bibiana Pulido, Mersiha Mahmić-Kaknjo +4 more
2016· review· en· Biochemia Medica· Computer Science
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
19
citations

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