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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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20002025
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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 31 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.

affgemma · metaresearchgpt · no categorymodels split
EEGManyLabs - Replication Raw Dataset - Eimer1996
2025· dataset· en· German Neuroinformatics Node· Social Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
affgemma · metaresearchgpt · metaresearchmodels agree
Correction: Characteristics of ‘mega’ peer-reviewers
Danielle B. Rice, Ba’ Pham, Justin Presseau, Andrea C. Tricco, David Moher
2022· erratum· en· Research Integrity and Peer Review· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
afffundgemma · metaresearch+metaepi_broad+metaepi_narrowgpt · metaepi_narrow+metaepi_broad+metaresearchmodels agree
Bias Estimation In Study Design: A Meta-Epidemiological Analysis of Transcatheter Versus Surgical Aortic Valve Replacement
Saerom Youn, Shannon Wong, Caitlin C Chrystoja, George Tomlinson, Harindra C. Wijeysundera, Chaim M. Bell +5 more
2020· preprint· en· Research Square (Research Square)· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaresearch
0
citations
venueaboutno affgemma · metaresearch+research_integritygpt · metaresearch+research_integritymodels split
Central Management of Research Misconduct in the USA and Canada
Jonathan J. Shuster
2024· article· en· Canadian Journal of Bioethics· Social Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
affgemma · metaresearchgpt · no categorymodels split
A note on handling conditional missing values
Mohammad Alì Mansournia, Maryam Nazemipour, Mahyar Etminan
2024· article· en· Global Epidemiology· Mathematics
machine prediction:candidate · metaresearchconsensus · none
0
citations
affvenueaboutgemma · metaresearch+open_sciencegpt · open_science+scholarly_communicationmodels split
Factors influencing Canadian HASS researchers’ open access publishing practices
Philips Ayeni, Rebekah Willson
2022· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
0
citations
affgemma · bibliometricsgpt · metaresearch+bibliometricsmodels split
Impact of a Fulbright award: A bibliometric analysis of persistence
Charlené Downing, Annie Temane, L. Amy Giles, Jean Hillyer, Sean Beatty
2025· article· en· Health SA Gesondheid· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations

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