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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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Cancer, Lipids, and Metabolism
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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.

1,094 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.
1,094 works in the cohort · of 4,299,418page 14 of 22

Labels cover 3 of 1,094 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 1,094 of 1,094 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.

affvenueno abstractunlabeled
The number of perfect matchings in random polyazulenoid chains
Shouliu Wei, Wai Chee Shiu
2018· article· en· Journal of Combinatorial Mathematics and Combinatorial Computing· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Lipid Profile in Oropharyngeal Cancers in Southern India
Lakshmi Kalpana Veerathu, SriDurgaDevi Kolla, Ravinder Kondreddy, Jagannadha Rao Peela
2013· article· en· Journal of cancer research updates· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Abstract 18: Bempedoic Acid Lowers Low Density Lipoprotein-Cholesterol and Attenuates Aortic Atherosclerosis in LDL Receptor-Deficient ( <i> LDLR <sup>+/-</sup> </i> and <i> LDLR <sup>-/-</sup> </i> ) Yucatan Miniature Pigs
Amy C. Burke, Dawn E. Telford, Brian G. Sutherland, Jane Y. Edwards, Cynthia G. Sawyez, Roger S. Newton +1 more
2016· article· en· Arteriosclerosis Thrombosis and Vascular Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Abstract P2-11-10: Effect of supplementation with eicosapentaenoic and docosahexaenoic omega-3 polyunsaturated fatty acid on the chemotoxicity in Mexican patients with locally advanced breast cancer (LABC) treated with neoadjuvant chemotherapy (NeoCT)
F DelaRosa-Oliva, Erika Ruíz‐García, E. Castro Gómez, Claudia Arce-Salinas, Fernando Lara-Medina, A Alvarado-Miranda +9 more
2017· article· en· Cancer Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Ontario Bird Records Committee Report for 1982
2024· article· en· Digital Commons - University of South Florida (University of South Florida)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Very-Low-Density Lipoproteins (VLDL)
J. Beare-Rogers, A. Dieffenbacher, J. V. Holm
2016· dataset· en· IUPAC Standards Online· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Prostacyclin (PGI 2 )
J. Beare-Rogers, A. Dieffenbacher, J. V. Holm
2016· dataset· en· IUPAC Standards Online· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About