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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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Journal of the European Academy of Dermatology and Venereology
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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.

401 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.
401 works in the cohort · of 4,299,418page 3 of 9

Labels cover 2 of 401 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 401 of 401 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
Quality of life of psoriasis patients
Madhulika A. Gupta, Aditya K. Gupta
2000· letter· en· Journal of the European Academy of Dermatology and Venereology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
47
citations
afffundunlabeled
Utilization of the validated Psoriasis Epidemiology Screening Tool to identify signs and symptoms of psoriatic arthritis among those with psoriasis: a cross‐sectional analysis from the <scp>US</scp>‐based Corrona Psoriasis Registry
P.J. Mease, Jacqueline B. Palmer, Peter Hur, Bruce Strober, Mark Lebwohl, Chitra Karki +4 more
2019· article· en· Journal of the European Academy of Dermatology and Venereology· Medicine
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Spesolimab, an anti‐interleukin‐36 receptor antibody, in patients with moderate‐to‐severe atopic dermatitis: Results from a multicentre, randomized, double‐blind, placebo‐controlled, phase <scp>IIa</scp> study
Robert Bissonnette, William Abramovits, Étienne Saint‐Cyr Proulx, Patricia Lee, Emma Guttman‐Yassky, Elizabeta Zovko +3 more
2022· article· en· Journal of the European Academy of Dermatology and Venereology· Medicine
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Psoriasis: consensus on topical therapies
PCM Van De Kerkhof, Juliet N. Barker, Knud Kragballe, James Mason, Alan Menter, Kim Papp
2008· article· en· Journal of the European Academy of Dermatology and Venereology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
A randomized, double‐blind, placebo‐controlled, dose‐escalation first‐in‐man study (phase 0) to assess the safety and efficacy of topical cytosolic phospholipase A2 inhibitor, <scp>AVX</scp>001, in patients with mild to moderate plaque psoriasis
Silje Haukali Omland, Antje Habicht, P. Damsbo, Joris Wilms, Berit Johansen, Robert Gniadecki
2017· article· en· Journal of the European Academy of Dermatology and Venereology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
The efficacy and safety of terbinafine in children
Aditya K. Gupta, A Adamiak, EA Cooper
2003· review· en· Journal of the European Academy of Dermatology and Venereology· Medicine
machine prediction:candidate · noneconsensus · none
35
citations
aboutno affunlabeled
The role of interleukins in vitiligo: a systematic review
Isla Alcântara Gomes, Fernanda Oliveira de Carvalho, Andréia Freire de Menezes, Fernando Mendonça de Almeida, Jullyana de Souza Siqueira Quintans, Lucindo José Quintans‐Júnior +3 more
2018· review· en· Journal of the European Academy of Dermatology and Venereology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
35
citations
aboutno affunlabeled
Quality of clinical practice guidelines in dermatological oncology
ERM De Haas, HC De Vijlder, W Siewertz Van Reesema, JJE Van Everdingen, H. A. Martino Neumann
2007· article· en· Journal of the European Academy of Dermatology and Venereology· Medicine
machine prediction:candidate · noneconsensus · none
34
citations
fundno affgemma · no categorygpt · no categorymodels agree
Dermatological patients with itch report more stress, stigmatization experience, anxiety and depression compared to patients without itch: Results from a European multi‐centre study
Claudia Zeidler, J. Küpfer, Florence Dalgard, Anthony Bewley, Andrea W.M. Evers, Uwe Gieler +25 more
2024· article· en· Journal of the European Academy of Dermatology and Venereology· Medicine
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Assessing the dynamic changes in vitiligo: reliability and validity of the Vitiligo Disease Activity Score (<scp>VDAS</scp>) and Vitiligo Disease Improvement Score (<scp>VDIS</scp>)
Nanja van Geel, Lien Depaepe, Virginie Vandaele, Luc Mertens, Jérôme Van Causenbroeck, Sofie De Schepper +9 more
2022· article· en· Journal of the European Academy of Dermatology and Venereology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Super‐response to guselkumab treatment in patients with moderate‐to‐severe psoriasis: age, body weight, baseline Psoriasis Area and Severity Index, and baseline Investigator's Global Assessment scores predict complete skin clearance
Kristian Reich, Kenneth B. Gordon, Bruce Strober, Richard G. Langley, Megan Miller, Ya‐Wen Yang +5 more
2022· article· en· Journal of the European Academy of Dermatology and Venereology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
33
citations

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