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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 Chemistry and Laboratory Medicine (CCLM)
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Retraction
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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
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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.

283 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.
283 works in the cohort · of 4,299,418page 5 of 6

Labels cover 0 of 283 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 283 of 283 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.

affunlabeled
Vitamin C and aberrant electrolyte results
Qing H. Meng, William C. Irwin, Kishore Visvanathan
2005· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Nursing
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Laboratory Information Systems
Hamideh Ghazizadeh, Khosrow Adeli, Majid Ghayour‐Mobarhan, M Bohn, Habibollah Esmaily, Noushin Mohammadifard +1 more
2023· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Chatbot GPT can be grossly inaccurate
Eleftherios P. Diamandis
2023· letter· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Effect of age on serum prostate-specific antigen in women
Eleftherios P. Diamandis, Emma Eklund, Carla Muytjens, Clare Fiala, Sarah Wheeler, Galina N. Nikolenko +6 more
2017· letter· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Not all good things come in big packages
Vincent De Guire, Muller Fabbri, Gregory J. Tsongalis
2017· editorial· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Arivale is dead ‒ Hooke is alive
Miyo K. Chatanaka, Eleftherios P. Diamandis
2025· letter· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Inappropriate extrapolations abound in fecal microbiota research
Sok‐Ja Janket, Harry A. Conte, Eleftherios P. Diamandis
2021· letter· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
2
citations
affunlabeled
Preanalytical phase
2023· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Materials Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About