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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 14 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.

affunlabeled
A Brief Guide to Evaluate Replications
Etienne P. LeBel, Wolf Vanpaemel, Irene Cheung, Lorne Campbell
2019· article· en· Meta-Psychology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
82
citations
afffundgemma · metaresearch+metaepi_broad+metaepi_narrowgpt · metaresearch+metaepi_narrow+metaepi_broadmodels split
What is the influence of randomisation sequence generation and allocation concealment on treatment effects of physical therapy trials? A meta-epidemiological study
Susan Armijo‐Olivo, Humam Saltaji, Bruno R. da Costa, Jorge Fuentes, Christine Ha, Greta G. Cummings
2015· review· en· BMJ Open· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaresearch
81
citations
affno abstractunlabeled
Down with the Hierarchies
Jacob Stegenga
2013· article· en· Topoi· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
81
citations
affgemma · metaresearchgpt · no categorymodels split
Reflections on the history of systematic reviews
Mike Clarke, Iain Chalmers
2018· editorial· en· BMJ evidence-based medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
81
citations
affunlabeled
Evidence Synthesis International (ESI): Position Statement
David Gough, Phil Davies, Gro Jamtvedt, Étienne V Langlois, Julia H. Littell, Tamara Lotfi +12 more
2020· letter· en· Systematic Reviews· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
79
citations
affno abstractunlabeled
Translating Evidence to Optimize Patient Care Using GRADE
Derek K. Chu, David B.K. Golden, Gordon Guyatt
2021· review· en· The Journal of Allergy and Clinical Immunology In Practice· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
78
citations

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