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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 27 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.

affno abstractgemma · metaresearchgpt · metaresearchmodels agree
Evidence-based Urology: Understanding Heterogeneity in Systematic Reviews
Angie Puerto Niño, Henk van der Worp, Kari A.O. Tikkinen, Gordon Guyatt, Marco H. Blanker
2021· review· en· European Urology Focus· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
2
citations
affno abstractgemma · metaresearch+metaepi_broad+metaepi_narrowgpt · metaresearch+metaepi_narrow+metaepi_broadmodels agree
THU0416 Attrition Bias in Rheumatoid Arthritis Randomised Trials with Different Modified Intention-To-Treat Approaches: A Meta-Epidemiological Study
Anna Døssing, Simon Tarp, D E Furst, Christian Gluud, Joseph Beyene, Bjarke Brandt Hansen +2 more
2014· article· en· Annals of the Rheumatic Diseases· Mathematics
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · none
2
citations
affvenuegemma · metaresearch+bibliometricsgpt · bibliometricsmodels split
A Bibliometric Analysis of Race-Related Research in LIS
Philippe Mongeon, Alison Brown, Ratna Dhaliwal, Jessalyn Hill, Amber Matthews
2021· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Mathematics
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
2
citations
affgemma · no categorygpt · metaresearchmodels split
Some issues for the evaluation of noninferiority trials
Xuanqian Xie, Myra Wang, Vivian Ng, Nancy Sikich
2018· article· en· Journal of Comparative Effectiveness Research· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
2
citations
afffundaboutgemma · metaresearchgpt · metaresearch+scholarly_communicationmodels split
Master protocol for a series of cohort-based randomized controlled trials to test tools to communicate research results to study participants and others with relevant lived experience: the SPIN-CLEAR Trials
Brett D. Thombs, Claire Adams, Elsa‐Lynn Nassar, Marie‐Eve Carrier, Meira Golberg, Kanika Bharthi +46 more
2025· article· en· Trials· Medicine
machine prediction:candidate · metaresearchconsensus · none
2
citations
aboutno affgemma · metaresearchgpt · metaresearchmodels agree
Guidelines on adequate data reporting
Nadia Elia, Martin R. Tramèr
2012· editorial· en· European Journal of Anaesthesiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
2
citations
affaboutgemma · metaresearch+research_integritygpt · research_integrity+scholarly_communicationmodels split
Retractions and Corrections at Scholars Portal Journals
Jessica Hymers, Qiuting Lin
2023· article· en· Balisage series on markup technologies· Computer Science
machine prediction:candidate · metaresearch+research_integrityconsensus · none
1
citations
affaboutgemma · metaresearchgpt · no categorymodels split
The value of multicenter collaboration in Gynecologic Oncology research
Gabriel Levin, Yoav Brezinov, Raanan Meyer, Susie Lau, Shannon Salvador, Walter H. Gotlieb
2024· article· en· Minerva Obstetrics and Gynecology· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
affgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
The impact of blinding on trial results: A systematic review and meta-analysis
Tyler Pitre, Sarah Kirsh, Tanvir Jassal, Mason Anderson, Adelia Padoan, Alexander Xiang +2 more
2023· review· en· medRxiv· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
1
citations
affgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_broadmodels split
Patient-important Outcomes Reported in Clinical Studies of Pharmacologic Treatments for COVID-19: A Protocol of a Meta-epidemiological Study
Mario A. Jiménez-Mora, Andrea Ramírez Varela, José F. Meneses-Echávez, Julia Bidonde, Adriana Angarita Fonseca, Reed Siemieniuk +7 more
2020· preprint· en· Research Square· Medicine
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · none
1
citations
affno abstractgemma · metaresearchgpt · no categorymodels split
Correction to: Risk of bias: why measure it, and how?
Mark Phillips, Peter K. Kaiser, Lehana Thabane, Mohit Bhandari, Varun Chaudhary, Charles C. Wykoff +7 more
2022· erratum· en· Eye· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations

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