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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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Systemic Sclerosis and Related Diseases
Retraction
Abstract
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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
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venuejournal
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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.

1,786 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.
1,786 works in the cohort · of 4,299,418page 23 of 36

Labels cover 5 of 1,786 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 1,786 of 1,786 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.

affvenueunlabeled
Improving Systemic Sclerosis Quality of Care
Aos Aboabat, Samar Aboulenain, Hila Jazayeri, Zareen Ahmad, Medha Soowamber, Sindhu R. Johnson
2025· article· en· The Journal of Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
afffundaboutgemma · metaresearchgpt · metaresearch+scholarly_communicationmodels split
Master protocol for a series of cohort-based randomized controlled trials to test tools to communicate research results to study participants and others with relevant lived experience: the SPIN-CLEAR Trials
Brett D. Thombs, Claire Adams, Elsa‐Lynn Nassar, Marie‐Eve Carrier, Meira Golberg, Kanika Bharthi +46 more
2025· article· en· Trials· Medicine
machine prediction:candidate · metaresearchconsensus · none
2
citations
affno abstractunlabeled
Health Care Utilization
Kathleen Morrisroe, Nora Sandorfi, Murray Barron
2023· review· en· Rheumatic Disease Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
How useful are MS registries?
Anthony Traboulsee, Katrina McMullen
2014· letter· en· Multiple Sclerosis Journal· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Actualisation des protocoles de mobilisation et conditionnement pour la pratique des autogreffes de cellules souches hématopoïétiques chez les patients atteints de maladies auto-immunes : recommandations de la Société francophone de greffe de moelle et de thérapie cellulaire (MATHEC-SFGM-TC)
Agnès Bonnin, Louis Terriou, C. Beuvon, Jean‐Jacques Tudesq, Mathieu Puyade, G. Pugnet +8 more
2023· review· fr· Bulletin du Cancer· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Pauling and Frech reply
John D Pauling, Tracy Frech
2019· letter· en· The Journal of Rheumatology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About