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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.

3,958 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.
3,958 works in the cohort · of 4,299,418page 70 of 80

Labels cover 10 of 3,958 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 3,958 of 3,958 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.

venueno affno abstractunlabeled
10.1016/s1877-7848(23)00162-4
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0000-0000(09)54994-7
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1241-8234(95)24770-9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueno abstractunlabeled
Des binettes au JCPH
Mary H. H. Ensom
2009· article· fr· The Canadian Journal of Hospital Pharmacy· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
La Spécialisation en pharmacie
Susan K. Bowles
2018· article· fr· The Canadian Journal of Hospital Pharmacy· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Histoires de vies
Danielle Muller-Roulet
2003· dissertation· fr· Archive ouverte UNIGE (University of Geneva)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0246-1072(19)30236-6
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0000-0000(09)53795-3
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0246-1072(15)68283-9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Être juste correct
Savithiri Ratnapalan, Helen Batty
2009· article· fr· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Appartenir au monde par le soin
Julien Simard
2022· article· fr· SociologieS· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Semmelweis to Szent Rókus
Daniel W. Galef
2018· article· hu· Ars Medica· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1877-7848(13)62836-1
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1877-7848(13)54331-0
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.1016/s0000-0000(09)55017-6
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.omag.2024.05.001
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Pharm. D. de premier niveau à nos portes
Fakhreddin Jamali
2018· article· fr· The Canadian Journal of Hospital Pharmacy· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
II. (to know death, impossible)
Ela Przybyło
2013· article· en· Canadian women's studies· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Voguer la galère … équipe SCPH en action
James Mann
2002· article· fr· The Canadian Journal of Hospital Pharmacy· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
[no title]
Monique Benoît, ANNE MARISE LAVOIE, Jean Dragon
2015· article· fr· Aporia· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Un mot de l’éditeur
W. Richard Bowen
2013· article· fr· Renaissance and Reformation· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Convaincante, l’ia ?
Julie Barlow
2025· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About