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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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venuejournal
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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.

215 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.
215 works in the cohort · of 4,299,418page 4 of 5

Labels cover 0 of 215 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 215 of 215 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/s1558-0164(06)70270-x
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.51847/RtaUVkeMiY
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Identification of Natural Products with Potential Activity against <em>Leishmania amazonensis </em>using computational models and experimental corroboration
Juan A. Castillo‐Garit, Naiví Flores-Balmaseda, Ailín Ramírez-Abreu, Lianet Monzote, Niurka Mollineda, Sergio Sifontes
2022· article· en· Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
HI-BI-BI 2022 Organizing Committee
Steering Chair, Reda Alhajj, Shang Gao, Ayoush Najem, Suli Taha
2022· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(06)71372-2
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(05)71095-8
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
News @ a glance:
2005· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Military Pharmacy Complements Community Work
2007· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
KP Tours
2018· dataset· en· uO Research (University of Ottawa)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Re-vue
2017· other· en· Deakin Research Online (Deakin University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Port Clinton, Ohio
2009· other· en· OhioLink ETD Center (Ohio Library and Information Network)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Impacts on post-COVID-19 sequelae: A systemic Review
Jannathul Firdous, Nang Thinn Thinn Htike, Alia Afiqah Binti Zainudin, Azizah Haziqah Binti Azizah Ariffin, Mohamad Aidel Mukhriz Bin Mohd Burhan, Nurin Zahirah Binti Zulhisham
2022· review· en· Journal of Applied Pharmaceutical Science· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
12: Dustin Fiddler
2018· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Uniform property Gamma
2021· article· en· Oxford University Research Archive (ORA) (University of Oxford)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Regulating Digital Mapping Technology
2019· article· en· eYLS (Yale Law School)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Impact Of Malaria On Human Life
Ali. H. Alsawadi, Hanouf. A. Alhamoudi, Abdullah. M. Bashiri, Abdullah. M. Albalawi, Amal. A. Alhamad, Abdullah. N. Alturaif +9 more
2023· article· en· Journal of Survey in Fisheries Sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

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