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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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Diversity and Career in Medicine
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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.

2,371 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.
2,371 works in the cohort · of 4,299,418page 39 of 48

Labels cover 16 of 2,371 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 2,371 of 2,371 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
Promoting Inclusion, Diversity, and Equity in Pain Science
Tonya M. Palermo, Karen D. Davis, Didier Bouhassira, Robert W. Hurley, Joel Katz, Francis J. Keefe +3 more
2023· article· en· Journal of Pain Research· Social Sciences
machine prediction:candidate · open_scienceconsensus · none
0
citations
aboutno affunlabeled
S2: The Indian Act
2019· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Workforce Diversity, Equity, and Inclusion
Howard Y. Liu, Allison R. Larson, Sheritta A. Strong, Ranna Parekh, Mamta Gautam, Laura Flores +1 more
2023· review· en· Child and Adolescent Psychiatric Clinics of North America· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Index
2020· paratext· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundno abstractunlabeled
Reply to J Fletcher et al
Bruna Ramos da Silva, Nicole Kiss, Marı́a Cristina González, Diana Cárdenas, M.A.E. de van der Schueren, Carla M. Prado +1 more
2024· letter· fr· American Journal of Clinical Nutrition· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Early women gynecologists
John Jarrell
2024· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · stsconsensus · none
0
citations
aboutno affunlabeled
S2 File -
2024· article· en· Figshare· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Society of Orthopaedic Medicine
2018· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About