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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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Autism Spectrum Disorder Research
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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
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.

4,716 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.
4,716 works in the cohort · of 4,299,418page 64 of 95

Labels cover 10 of 4,716 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 4,716 of 4,716 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.

affvenueaboutunlabeled
Autistic Employees in Canadian Academic Libraries
Lori Giles‐Smith, Emma Popowich
2023· article· en· Canadian Journal of Academic Librarianship· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Persistent Tic Disorders Are Associated With 17q12 Duplications
Matthew Halvorsen, Sheng Wang, Tyne W. Miller‐Fleming, Dongmei Yu, Apostolia Topaloudi, Elles de Schipper +22 more
2025· preprint· en· Research Square· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Characterizing Subcortical Structural Heterogeneity in Autism
David N. MacDonald, Saashi A. Bedford, Emily Olafson, Min Tae M Park, Gabriel A. Devenyi, Stéphanie Tullo +23 more
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affgemma · no categorygpt · no categorymodels agree
Paradigm Shift: New Approaches to Understanding Autism Spectrum Disorders
Natalia V. Ustinova, Leyla S. Namazova-Baranova, Baranov Aa, Еlena A. Vishneva, Elena V. Kaitukova, Tatiana V. Turti +4 more
2024· article· en· Annals of the Russian academy of medical sciences· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About