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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.

affaffiliation
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venuejournal
aboutaboutness

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
Evidence
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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 49 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.

affvenueunlabeled
Duplicate publications: A sample of redundancy in the Journal of
Kiara Hennessey, Aaron R. Williams, Kourosh Afshar, Andrew E. MacNeily
2013· article· en· Canadian Urological Association Journal· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · none
5
citations
affunlabeled
Citation Inaccuracy in a Scientific Journal
Judith A. Harper
2001· article· en· Science & Technology Libraries· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
4
citations
affno abstractunlabeled
Reporting guidelines for journal and conference abstracts
Jérémie F. Cohen, Daniël A. Korevaar, Isabelle Boutron, Constantine Gatsonis, Sally Hopewell, Matthew D. F. McInnes +3 more
2020· review· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affno abstractunlabeled
Revisiones rápidas para la síntesis de la evidencia
Ferrán Catalá-López, Adrienne Stevens, Chantelle Garritty, Brian Hutton
2017· review· es· Medicina Clínica· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affvenueunlabeled
Systematic reviews on the success of dental implants present low spin of information but may be better reported and interpreted: An overview of systematic reviews with meta‐analysis
Charles Phillipe de Lucena Alves, Bruna Muhlinberg Vetromilla, Laura Barreto Moreno, Lucas Helal, Rafael Sarkis‐Onofre, Tatiana Pereira‐Cenci
2022· review· en· Clinical Implant Dentistry and Related Research· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affunlabeled
Systematic and other reviews: Criteria and complexities
Robert T. Sataloff, Matthew L. Bush, Rakesh Chandra, Douglas B. Chepeha, Brian Rotenberg, Edward Fisher +13 more
2021· article· en· Head & Neck· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
affunlabeled
P05.50. CONSORT extension for N-of-1 trials (CENT) guidelines
Larissa Shamseer, Margaret Sampson, Cecilia Bukutu, Nicholas Barrowman, Douglas G. Altman, David Moher +1 more
2012· article· en· BMC Complementary and Alternative Medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations
venueaboutno affunlabeled
Outcome reporting bias in government-funded RCTs
Lorenzo Moja
2005· letter· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
4
citations

How this was built: Screen · Findings · About