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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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Advanced Causal Inference Techniques
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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.

affaffiliation
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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.

1,326 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.
1,326 works in the cohort · of 4,299,418page 2 of 27

Labels cover 35 of 1,326 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 1,326 of 1,326 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 affunlabeled
Viewpoint: Replication in economics
Daniel S. Hamermesh
2007· article· en· Canadian Journal of Economics/Revue canadienne d économique· Mathematics
machine prediction:candidate · metaresearchconsensus · none
275
citations
affno abstractunlabeled
Quasi-experimental study designs series—paper 4: uses and value
Till Bärnighausen, Peter Tugwell, John‐Arne Røttingen, Ian Shemilt, Peter C. Rockers, Pascal Geldsetzer +10 more
2017· article· en· Journal of Clinical Epidemiology· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
247
citations
affunlabeled
A conceptual framework for prognostic research
Peter Kent, Carol Cancelliere, Eleanor Boyle, J. David Cassidy, Alice Kongsted
2020· article· en· BMC Medical Research Methodology· Mathematics
machine prediction:candidate · metaresearchconsensus · none
192
citations
afffundaboutunlabeled
Propensity score matching and complex surveys
Peter C. Austin, Nathaniel Jembere, Maria Chiu
2016· article· en· Statistical Methods in Medical Research· Mathematics
machine prediction:candidate · noneconsensus · none
192
citations
affunlabeled
The Parametric g-Formula for Time-to-event Data
Alexander P. Keil, Jessie K. Edwards, David B. Richardson, Ashley I. Naimi, Stephen R. Cole
2014· article· en· Epidemiology· Mathematics
machine prediction:candidate · noneconsensus · none
189
citations
afffundaboutunlabeled
Time‐related biases in pharmacoepidemiology
Samy Suissa, Sophie Dell’Aniello
2020· article· en· Pharmacoepidemiology and Drug Safety· Mathematics
machine prediction:candidate · metaresearchconsensus · none
161
citations

How this was built: Screen · Findings · About