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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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Clinical and investigative medicine
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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
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.

983 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.
983 works in the cohort · of 4,299,418page 19 of 20

Labels cover 5 of 983 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 983 of 983 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 affunlabeled
The Dynactome-investigating dynamic network motifs of kinasess
Jonathan So, Kelly Elder, Karen Colwill, Rune Linding, Tony Pawson
2007· article· en· Clinical and investigative medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
COPY NUMBER VARIATION IN METABOLIC SYNDROME
Matthew B. Lanktree, R A Hegele
2008· article· en· Clinical and investigative medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affgemma · no categorygpt · no categorymodels agree
Letter of Retraction
Jonathan Angel
2015· article· en· Clinical and investigative medicine· Medicine
machine prediction:candidate · research_integrityconsensus · none
0
citations
venueaboutno affunlabeled
C.I.M. On-Line
2007· article· en· Clinical and investigative medicine· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Hats Off to The Cim Reviewers of 2020
2020· article· en· Clinical and investigative medicine· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
venueno affunlabeled
The role of CRMP4 in nerve regenerations
Stephan Ong Tone, Yazan Z. Alabed, Alyson E. Fournier
2007· article· en· Clinical and investigative medicine· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
CETP IN RARE DYSLIPIDEMIAS
Ahmad Al‐Sarraf, Kristina Sachs‐Barrable, Jim Hill, Kishor M. Wasan, J. Fröhlich
2009· article· en· Clinical and investigative medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Hats Off to the CIM Reviewers of 2023
Robert Bortolussi
2023· article· en· Clinical and investigative medicine· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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