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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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Childhood Cancer Survivors' Quality of Life
Retraction
Abstract
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Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

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

3,427 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,427 works in the cohort · of 4,299,418page 55 of 69

Labels cover 11 of 3,427 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 3,427 of 3,427 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.

aboutno affunlabeled
Simoneʼs OncOpinion
Joseph V. Simone
2015· article· en· Oncology Times· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Kinderen en kanker
Henk van den Berg, M. D. van de Wetering
2009· book· Pure Amsterdam UMC· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
CINECA synthetic cohort NA Canada CHILD [CC-BY-NC-SA]
Vivian Jin, Justin Cook, Aimée Dubeau, Ruixue Dai, Tyler Burleigh, Lewis Jonathan Dursi +5 more
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Case 1: A boy with asthma and leg pain
Jackie Chiang, Stacey Marjerrison, Ahmed Naqvi
2012· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Needless Suffering
Kimberley Widger
2015· article· en· Canadian Journal of Nursing Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Psychological debriefing: First do no harm
Andrew Teodorczuk, Brian Kelly, Stuart Carney
2021· letter· en· Medical Education· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
CINECA synthetic cohort NA Canada CHILD [CC-BY-NC-SA]
Vivian Jin, Justin Cook, Aimée Dubeau, Ruixue Dai, Tyler Burleigh, Lewis Jonathan Dursi +5 more
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Cancer Patient’s Friend
Joseph Bick
2007· article· en· Current Oncology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Kinderen en kanker; 3e herz. dr
H. Behrendt, H. van den Berg, M. D. van de Wetering
2002· book· Pure Amsterdam UMC· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About