MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Clinical Chemistry and Laboratory Medicine (CCLM)
Topic
Retraction
Abstract
Evidence source
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.

283 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
283 works in the cohort · of 4,299,418page 3 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
Ultrasensitive assay for saliva-based SARS-CoV-2 antigen detection
Annie Ren, Dorsa Sohaei, Antigona Ulndreaj, Oscar D. Pons-Belda, Amaia Fernandez-Uriarte, Ioannis M. Zacharioudakis +14 more
2022· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Cellular markers of eryptosis are altered in type 2 diabetes
Daniela Kempe-Teufel, Rosi Bissinger, Syed M. Qadri, Róbert Wágner, Andreas Peter, Florian Läng
2018· letter· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Journal Impact Factor: it will go away soon
Eleftherios P. Diamandis
2009· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Decision Sciences
machine prediction:candidate · metaresearch+bibliometrics+insufficient_payloadconsensus · none
17
citations
fundno affunlabeled
Laboratory medicine and sports: between Scylla and Charybdis
Giuseppe Lippi, Giuseppe Banfi, Francesco Botrè, Xavier de la Torre, Francesco De Vita, Mari Carmen Gómez‐Cabrera +6 more
2012· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
fundno affunlabeled
Nutrigenomics – 2006 update
Jim Kaput
2007· review· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Economic evidence in decision-making process in laboratory medicine
Massimo Brunetti, Silvia Pregno, Holger J. Schünemann, Mario Plebani, Tommaso Trenti
2011· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
13
citations

How this was built: Screen · Findings · About