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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.

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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 12 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
P-value, compatibility, and S-value
Mohammad Alì Mansournia, Maryam Nazemipour, Mahyar Etminan
2022· article· en· Global Epidemiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
101
citations
affunlabeled
Media Coverage of Scientific Meetings
Lisa M. Schwartz, Steven Woloshin, Linda A Baczek
2002· article· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
100
citations
affno abstractunlabeled
Nonparametric tests
Martin Krzywinski, Naomi Altman
2014· article· en· Nature Methods· Decision Sciences
machine prediction:candidate · noneconsensus · none
97
citations
affunlabeled
Meta-analyses: what they can and cannot do
A. J. Nordmann, Benjamin Kasenda, Matthias Briel
2012· review· en· Swiss Medical Weekly· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
97
citations
affno abstractunlabeled
Systematic Review of the Literature: Best Practices
Supriya Gupta, Prabhakar Rajiah, Erik H. Middlebrooks, Dhiraj Baruah, Brett W. Carter, Kirsteen R. Burton +2 more
2018· article· en· Academic Radiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
96
citations
affunlabeled
The Impact Factor: Time for Change
Sidney Bloch, Garry Walter
2001· article· en· Australian & New Zealand Journal of Psychiatry· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
91
citations
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