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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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Dermatology and Skin Diseases
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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.

2,536 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,536 works in the cohort · of 4,299,418page 34 of 51

Labels cover 6 of 2,536 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 2,536 of 2,536 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
Managing atopic dermatitis in infants
Anna Whalen-Browne, Hywel C Williams, Derek K. Chu
2022· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0292-062x(20)30102-1
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
194 Effect of ruxolitinib cream on biomarkers of atopic dermatitis
Saxon D. Smith, A. Volkova, Yeriel Estrada, Joel Corrêa da Rosa, Étienne Saint‐Cyr Proulx, Haq Nawaz +2 more
2023· article· en· Journal of Investigative Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Correction
2008· article· en· Dermatitis· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affno abstractunlabeled
Eyelid Dermatitis: An Evaluation of 447 Patients
Fabio Ayala, Gabriella Fabbrocini, Roberto Bacchilega, Enzo Berardesca, Stefano Caraffini, Monica Corazza +10 more
2003· article· en· Dermatitis· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Response to Chu et al’s “Atopic dermatitis (eczema) guidelines: 2023 American Academy of Allergy, Asthma and Immunology/American College of Allergy, Asthma and Immunology Joint Task Force on Practice Parameters GRADE− and Institute of Medicine−based recommendations”
Melissa Shive, Elena B. Hawryluk, Aaron M. Drucker, Lindsy Frazer-Green
2025· article· en· Journal of the American Academy of Dermatology· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Animal Model of Atopic Dermatitis
Hiromi Mizutani
2008· article· en· Dermatitis· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Case 15: Atopic Dermatitis
Laurel J. Gershwin
2017· book-chapter· en· Garland Science eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About