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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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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

76 results · 1 filter active ·
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20022025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
76 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 76 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 76 of 76 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
Writing resistance together
Pasi Ahonen, Annika Blomberg, Katherine Doerr, Katja Einola, Anna Elkina, Grace Gao +16 more
2020· article· en· Gender Work and Organization· Decision Sciences
machine prediction:candidate · noneconsensus · none
84
citations
affvenueaboutunlabeled
Welcome to Canada … but don’t get sick
Ritika Goel, Michaela Beder
2011· article· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affvenueaboutunlabeled
Better treatment for depression
Richard E. Hibbard
2015· letter· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Editorial
Lena Šimić, Emily Underwood-Lee
2017· editorial· es· Performance Research· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
venueno affunlabeled
New <i>CMAJ</i> policy on sharing study data
Diane Kelsall
2017· editorial· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
3
citations
venueno affunlabeled
So many databases, such little clarity
Len Kelly, Natalie St Pierre-Hansen
2008· article· en· Canadian Family Physician· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
aboutno affunlabeled
REGARDER!@# Antrum (2020) FILM-COMPLET EN yiy
2020· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Threshold
Basit Kareem Iqbal
2025· book-chapter· en· Fordham University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Not all patients are the same
Sheri McMann
2014· letter· en· Canadian Medical Association Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Rodéo
Lola Quivoron, Antonia Buresi, Vannina Micheli-Rechtman
2024· article· fr· Figures de la psychanalyse· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Approved by:
2009· article· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Philip K. Dick, Philosophe S-F
Simon Critchley, Lucie Maurel Petetin
2013· article· lt· Sens public· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About