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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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Hormonal and reproductive studies
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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.

1,524 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.
1,524 works in the cohort · of 4,299,418page 19 of 31

Labels cover 1 of 1,524 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 1,524 of 1,524 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.

fundno affunlabeled
Implementation and Performance of the Gas Chromatography/Combustion/Isotope Ratio Mass Spectrometry-Based Method for the Confirmatory Analysis of Endogenous Anabolic Steroids during the Rio de Janeiro Olympic and Paralympic Games 2016
Fábio Azamor de Oliveira, Alessandro Casilli, Thomas Piper, Thais Reis da Silva, Cristiane Abrantes da Silva, Raquel V.S. Silva +6 more
2019· article· en· Analytical Chemistry· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
afffundno abstractunlabeled
Risks of Serious Injury with Testosterone Treatment
Christopher J. Yarnell, Deva Thiruchelvam, Donald A. Redelmeier
2020· article· en· The American Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
fundno affunlabeled
Influence of Pain Killers on the Urinary Anabolic Steroid Profile
Anna Stoll, Michele Iannone, Giuseppina De Gregorio, Xavier de la Torre, Francesco Molaioni, Francesco Botrè +1 more
2020· article· en· Journal of Analytical Toxicology· Medicine
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About