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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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Asthma and respiratory diseases
Retraction
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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.

5,532 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.
5,532 works in the cohort · of 4,299,418page 72 of 111

Labels cover 27 of 5,532 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 5,532 of 5,532 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.

venueno affunlabeled
Factors related to poor adherence in Latvian asthma patients
Dins Šmits, Ģirts Briģis, Jana Pavāre, Inga Urtāne, Sandis Kovalovs, Noël C. Barengo
2020· article· en· Allergy Asthma and Clinical Immunology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Use of Oral Corticosteroids in the Wheezy Toddler
Elissa M. Abrams, Allan B. Becker, Stanley J. Szefler
2018· review· en· The Journal of Pediatrics· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
Eosinophil Shape Change and Secretion
Sergei I. Ochkur, Elizabeth A. Jacobsen, Paige Lacy
2021· article· en· Methods in molecular biology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Reply
Carlos A. Cuello‐García, Jan Brożek, Alessandro Fiocchi, Ruby Pawankar, Juan José Yepes-Núñez, Luigi Terracciano +4 more
2015· letter· en· Journal of Allergy and Clinical Immunology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Pediatric Asthma Controller Therapy
Mark Anselmo
2010· review· en· Pediatric Drugs· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
venueaboutno affunlabeled
The Mind-Body of Allergic Diseases
A. Dean Befus, Judah A. Denburg
2008· article· en· Allergy Asthma and Clinical Immunology· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
A question of time
Sanjit K. Bhogal
2012· review· en· Current Opinion in Pulmonary Medicine· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundaboutunlabeled
The carbon footprint of diagnostic delays in asthma
Lauranne Pouliot, Laurence Désy, Sarah-Ève Lemieux, C.A. Celis-Preciado, Samuel Lemaire‐Paquette, Martine Duval +4 more
2024· article· en· ERJ Open Research· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Update in Asthma 2010
Shamsah Kazani, Elliot Israel
2011· article· en· American Journal of Respiratory and Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Inflammatory patterns in allergic rhinitis
Susan Foley, Qutayba Hamid
2006· article· en· Clinical & Experimental Allergy Reviews· Medicine
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About