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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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Meta-analysis and systematic reviews
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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.

4,076 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.
4,076 works in the cohort · of 4,299,418page 51 of 82

Labels cover 359 of 4,076 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 4,076 of 4,076 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.

afffundaboutgemma · metaresearchgpt · metaresearchmodels split
Evaluating the impact of MEDLINE filters on evidence retrieval: study protocol
Salimah Z. Shariff, Meaghan S. Cuerden, R. Brian Haynes, K. Ann McKibbon, Nancy L Wilczynski, Arthur V. Iansavichus +3 more
2010· article· en· Implementation Science· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affunlabeled
Randomized Controlled Trials: The Basics
Alejandro R. Jadad, Murray W. Enkin
2007· other· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affunlabeled
Letter to the Editor
Mark Rishniw, Paul D. Pion, William E. Herndon, Steven Barr, Louis Philippe De Lorimier, Robert Rosenthal +18 more
2010· letter· en· Journal of Veterinary Internal Medicine· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
Letter: Robins-E risk of bias tool
Kyle Steenland, Kurt Straif, Mary K. Schubauer‐Berigan, Paul A. Demers, Francesco Forastiere, Timothy T. Stenzel +4 more
2025· letter· en· Environment International· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affunlabeled
CJEP will offer open science badges.
Penny M. Pexman
2017· article· en· Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale· Decision Sciences
machine prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · none
4
citations
affunlabeled
CONSORT comes to TRANSFUSION
Nancy M. Heddle, Paul M. Ness
2009· editorial· en· Transfusion· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affunlabeled
Too Small to Succeed: Small Samples and the p-Value Problem
Miguel I. Aguirre‐Urreta, Mikko Rönkkö, Cameron N. McIntosh
2024· article· en· ACM SIGMIS Database the DATABASE for Advances in Information Systems· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affno abstractunlabeled
Improving systematic reviews in obstetrics and gynecology
Maria C. Cusimano, Rouhi Fazelzad, Filomena Meffe
2020· letter· en· American Journal of Obstetrics and Gynecology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
3
citations
affno abstractunlabeled
Randomized Controlled Trials 1: Design
Bryan M. Curtis, Brendan J. Barrett, Patrick S. Parfrey
2021· book-chapter· en· Methods in molecular biology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
affgemma · metaresearch+metaepi_broadgpt · metaresearch+metaepi_broadmodels agree
Methodological assessment and overall confidence in the results of systematic reviews with meta‐analyses focusing on traumatic dental injuries: A cross‐sectional study
Venkateshbabu Nagendrababu, Clóvis Mariano Faggion, Vellore Kannan Gopinath, S. Narasimhan, Henry F. Duncan, Liran Levin +2 more
2023· review· en· Dental Traumatology· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
3
citations

How this was built: Screen · Findings · About