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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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Amyotrophic Lateral Sclerosis Research
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.

2,374 results · 1 filter active ·
Results by year
20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,374 works in the cohort · of 4,299,418page 42 of 48

Labels cover 4 of 2,374 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 2,374 of 2,374 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.

affaboutunlabeled
Antibody Characterization Report for FIG4
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tofersen (Qalsody)
CDA-AMC
2025· article· Canadian Journal of Health Technologies· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Antibody Characterization Report for FIG4
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Theme 4 <i>In Vivo</i> Experimental Models
2024· article· en· Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Theme 7 Pre-Clinical Therapeutic Strategies
2024· article· en· Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Long-term tofersen in SOD1 amyotrophic lateral sclerosis
T.M. Miller, M.E. Cudkowicz, A. Genge, G. Sobue, RC Bucelli, A. Chiò +410 more
2025· article· en· White Rose Research Online (University of Leeds, The University of Sheffield, University of York)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Effets d’un programme d’entraînement de 4 mois associant de l’entraînement intermittent à haute intensité et de l’entraînement en résistance sur les fonctions cognitives, l’oxygénation cérébrale et la tolérance à l’effort chez des sujets en surpoids
Joffrey Drigny, M Gayda, P. Sosner, Jean-François Payette, Anil Nigam, Martin Juneau +1 more
2012· article· fr· Annals of Physical and Rehabilitation Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Helping the FTD Patient-Caregiver Dyad
Gabriel C. Léger, Fadi Massoud
2011· letter· fr· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Theme 2 Genetics and Genomics
2024· article· en· Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About