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
Topic
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
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.
2,374 works in the cohort · of 4,299,418page 31 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.

affunlabeled
ALSUntangled #67: rituximab
Xiaoyan Li, Carmel Armon, Paul E. Barkhaus, Benjamin Barnes, Michael Benatar, Tulio E. Bertorini +19 more
2022· review· en· Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
References
Christopher A. Shaw
2017· other· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
affno abstractunlabeled
An Epigenetic Spin to ALS and FTD
Mark Ebbert, Rebecca J. Lank, Véronique Belzil
2018· review· nl· Advances in neurobiology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Effects of a self-care educational program via telerehabilitation on quality of life and caregiver burden in amyotrophic lateral sclerosis: a single-blinded randomized clinical trial protocol
Emília Márcia Gomes de Souza e Silva, Stephano Tomaz da Silva, Ledycnarf Januário de Holanda, Daniel Tezoni Borges, Ana Paula Mendonça Fernandes, Kelly Evangelista Rodrigues da Silva +5 more
2023· article· en· Frontiers in Psychology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Reldesemtiv in Amyotrophic Lateral Sclerosis
Jeremy M. Shefner, Merit Cudkowicz, Angela Genge, Orla Hardiman, Ammar Al‐Chalabi, Jinsy Andrews +85 more
2025· article· en· JAMA Neurology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Toward therapeutic trials in primary lateral sclerosis
Erica Scirocco, Matti D. Allen, Elisa Giacomelli, Senda Ajroud‐Driss, Jinsy Andrews, Sandra Anne Banack +26 more
2025· review· en· Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Biochemical markers: Summary
Michael J. Strong
2002· article· en· Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Platform Trials in ALS
John Turnbull
2025· article· nl· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About