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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 68 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
boutiques/boutiques: Release 0.5.2.1
2017· other· fr· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reporting in surgical research
Rachel Rosenthal
2015· dissertation· en· edoc (University of Basel)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affunlabeled
Beoordelen van bewijs voor nieuwe behandelingen
Usama Ahmed Ali, Marja A. Boermeester
2014· article· nl· Nederlandsch tijdschrift voor geneeskunde/Nederlands tijdschrift voor geneeskunde/NTvG-databank· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Crowdsourcing Six Pediatric Systematic Reviews
Nassr Nama, Margaret Sampson, Nick Barrowman, Katie O’Hearn, Ryan Sandarage, Kusum Menon +7 more
2020· article· en· PEDIATRICS· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affno abstractunlabeled
Response to the editors
Endre Koritar
2015· article· en· Canadian journal of psychoanalysis· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(09)70156-3
2000· article· en· Time to knit· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
How up-to-date are Cochrane Reviews
Mike Clarke, Prathap Tharyan, Sally Green
2008· article· en· The Lancet· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affno abstractgemma · no categorygpt · scholarly_communicationmodels split
Systematic reviews: knowledge translation?
Carlos Flores‐Mir
2016· review· en· Dental Press Journal of Orthodontics· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
aboutno affunlabeled
PM_025045_E_Les_Valls_de_Valira
2009· other· ca· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Outcome reporting bias in randomised trials
An‐Wen Chan
2003· article· en· Oxford University Research Archive (ORA) (University of Oxford)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affno abstractunlabeled
Session 8: Providing Scientific Evidence: RCTs and Beyond
Thorkild I. A. Sørensen, Antoine Hadengue, Francesco Salerno, Flemming Bendtsen, Jayant A. Talwalkar, Jenny Heathcote +2 more
2006· other· en· Decision Sciences
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Levels of Evidence
Sattar Alshryda, James G. Wright
2013· book-chapter· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Negative Results Track Program Committee
Haipeng Cai, Sebastian Proksch, Xin Xia, Vadim Zaytsev
2019· article· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affno abstractunlabeled
Book Review Policy and Guidelines
2000· article· en· Leisure/Loisir· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
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