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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 2 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
Systematic Review and Meta-analysis
Amit X. Garg, Dan Hackam, Marcello Tonelli
2008· review· en· Clinical Journal of the American Society of Nephrology· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
2,276
citations
fundno affunlabeled
Reporting of Patient-Reported Outcomes in Randomized Trials
Melanie Calvert, Jane Blazeby, Douglas G. Altman, Dennis A. Revicki, David Moher, Michael Brundage +1 more
2013· article· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1,365
citations
affunlabeled
Updated methodological guidance for the conduct of scoping reviews
Micah D.J. Peters, Casey Marnie, Andrea C. Tricco, Danielle Pollock, Zachary Munn, Lyndsay Alexander +3 more
2021· article· en· JBI Evidence Implementation· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1,354
citations
afffundgemma · metaresearchgpt · metaresearchmodels agree
A scoping review of rapid review methods
Andrea C. Tricco, Jesmin Antony, Wasifa Zarin, Lisa Strifler, Marco Ghassemi, John D. Ivory +4 more
2015· review· en· BMC Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1,156
citations
afffundunlabeled
A catalogue of reporting guidelines for health research
Iveta Simera, David Moher, J. Hoey, Kenneth F. Schulz, Douglas G. Altman
2009· review· en· European Journal of Clinical Investigation· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1,048
citations

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