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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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S100 Proteins and Annexins
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.

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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.

754 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.
754 works in the cohort · of 4,299,418page 8 of 16

Labels cover 0 of 754 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 754 of 754 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.

afffundvenueunlabeled
Can Admission S-100β Predict the Extent of Brain Damage in Head Trauma Patients?
Elisabeth Schültke, Venkatraman Sadanand, Michael Kelly, Robert Griebel, B. H. J. Juurlink
2009· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
S100A8/A9 and sRAGE kinetic after polytrauma; an explorative observational study
Philippe Joly, John C. Marshall, Philippe A. Tessier, Chantal Massé, Nathalie Pagé, Anne Julie Frenette +4 more
2017· article· en· Scandinavian Journal of Trauma Resuscitation and Emergency Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affvenueunlabeled
Quercetin Administration After Spinal Cord Trauma Changes S-100β Levels
Elisabeth Schültke, Robert Griebel, Bernhard H.J. Juurlink
2010· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Serum Levels of Biochemical Markers of Traumatic Brain Injury
Keith Borg, Jordan Bonomo, Edward C. Jauch, Peter Kupchak, Eric Stanton, Bruce Sawadsky
2012· article· en· ISRN Emergency Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
A slan-based nomenclature for monocytes?
Petronela Ancuța
2015· letter· en· Blood· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
afffundvenueunlabeled
Detection of S-100β Protein in Plasma and Urine After a Mild Traumatic Brain Injury
Natalie Le Sage, Pier‐Alexandre Tardif, Jérôme Frenette, Marcel Émond, Jean‐Marc Chauny, Lynne Moore +3 more
2019· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Characteristics of patients included and enrolled in studies on the prognostic value of serum biomarkers for prediction of postconcussion symptoms following a mild traumatic brain injury: a systematic review
Éric Mercier, Pier‐Alexandre Tardif, Marcel Émond, Marie‐Christine Ouellet, Élaine de Guise, Biswadev Mitra +2 more
2017· review· en· BMJ Open· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · none
12
citations

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