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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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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.

1,663 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.
1,663 works in the cohort · of 4,299,418page 23 of 34

Labels cover 8 of 1,663 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 1,663 of 1,663 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
What can we learn from the Nepal Health Facility Survey 2015?
Pramod Regmi, Padam Simkhada, Edwin van Teijlingen, Puspa Raj Pant, Om Kurmi, Sujan Babu Marahatta
2018· article· en· Journal of Manmohan Memorial Institute of Health Sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Growth of Health Costs: Myths and Reality
Yulia Vladimirovna Kuftova, Olga Valerevna Obukhova, Irina Nikolaevna Bazarova
2019· article· en· Medical Technologies Assessment and Choice· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
: Document de recherche Chrome #2016-08
Stéphane Mussard, María Pi Alperin
2016· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Albert Schweitzer. Stulecie szpitala w Lambarene (Gabon)
Henryk Gaertner, Bogusław Stelcer, Eberhart Wissel
2015· article· pl· CeON Repository (Centre for Evaluation in Education and Science)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hospital funding
2017· book· en· ANU Open Research (Australian National University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Gormley - Andrew Hoskin - Monday, May 2, 2022
2022· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
the ultimate guide to swing trading pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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How this was built: Screen · Findings · About