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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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venuejournal
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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 33 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.

affno abstractunlabeled
Doing better leadership science via replications and registered reports
Melissa K. Carsten, Rachel Clapp‐Smith, S. Alexander Haslam, Nicolas Bastardoz, Janaki Gooty, Shane Connelly +1 more
2023· article· en· The Leadership Quarterly· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
17
citations
affunlabeled
Why clinical trials are terminated
Theodore R. Pak, Maria Rodriguez, Frederick P. Roth
2015· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
17
citations
affno abstractgemma · no categorygpt · no categorymodels split
Alternatives To Winbugs for Network Meta–Analysis
Martha Stephenson, Kelly Fleetwood, Ann Yellowlees
2015· article· en· Value in Health· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
17
citations
affvenueunlabeled
Covidence and Rayyan
Rachel Couban
2016· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
16
citations
affno abstractunlabeled
Case-Control Confusion
Martha A. Hellems, Michael S. Kramer, Gregory F. Hayden
2006· review· en· Ambulatory Pediatrics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
16
citations

How this was built: Screen · Findings · About