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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
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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.

5,532 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.
5,532 works in the cohort · of 4,299,418page 13 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.

afffundno abstractunlabeled
The management of severe asthma in 2020
Andréanne Côté, Krystelle Godbout, Louis‐Philippe Boulet
2020· review· en· Biochemical Pharmacology· Medicine
machine prediction:candidate · noneconsensus · none
94
citations
affno abstractunlabeled
Is obesity associated with asthma in young children?
Teresa To, Tatiana N. Vydykhan, Sharon Dell, Marjan Tassoudji, Jennifer K. Harris
2004· article· en· The Journal of Pediatrics· Medicine
machine prediction:candidate · noneconsensus · none
94
citations
affunlabeled
Asthma phenotypes and endotypes
Ting‐Yu Lin, Audrey H. Poon, Qutayba Hamid
2012· review· en· Current Opinion in Pulmonary Medicine· Medicine
machine prediction:candidate · noneconsensus · none
93
citations
affunlabeled
Provoked models of asthma: what have we learnt?
Paul M. O’Byrne, Gail M. Gauvreau, John D. Brannan
2009· review· en· Clinical & Experimental Allergy· Medicine
machine prediction:candidate · noneconsensus · none
93
citations
affno abstractunlabeled
Airway Hyperresponsiveness in Asthma: Measurement and Clinical Relevance
Parameswaran Nair, James G. Martin, Donald C. Cockcroft, Myrna Dolovich, Catherine Lemière, Louis‐Philippe Boulet +1 more
2017· review· en· The Journal of Allergy and Clinical Immunology In Practice· Medicine
machine prediction:candidate · noneconsensus · none
92
citations
affno abstractunlabeled
Trends in the age of diagnosis of childhood asthma
Dhenuka Radhakrishnan, Sharon Dell, Astrid Guttmann, Salimah Z. Shariff, Kuan Liu, Teresa To
2014· article· en· Journal of Allergy and Clinical Immunology· Medicine
machine prediction:candidate · noneconsensus · none
92
citations
affunlabeled
Asthma in Latin America
Erick Forno, Mudita Gogna, Alfonso Cepeda, Anahí Yáñez, Dirceu Solé, Philip J. Cooper +4 more
2015· review· en· Thorax· Medicine
machine prediction:candidate · noneconsensus · none
90
citations
affunlabeled
IL-9 in Allergic Inflammation
Hans‐Peter Hauber, Céline Bergeron, Qutayba Hamid
2004· review· en· International Archives of Allergy and Immunology· Medicine
machine prediction:candidate · noneconsensus · none
90
citations

How this was built: Screen · Findings · About