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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.

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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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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.

2,180 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.
2,180 works in the cohort · of 4,299,418page 36 of 44

Labels cover 3 of 2,180 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 2,180 of 2,180 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
Response
Samy Suissa, Pierre Ernst
2020· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Kerri A. Johannson, Eric Vittinghoff, Julie Morisset, Paul J. Wolters, Elizabeth M. Noth, John R. Balmes +1 more
2018· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Sarah Svenningsen, Parameswaran Nair
2019· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Are We There Yet?
Anne V. Gonzalez, Lonny Yarmus
2025· editorial· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
To Leak, or Not to Leak
Dan Perri, Thomas Piraino
2025· editorial· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Association Between Severe Asthma and CFTR Mutations
Giovanna Riolo, Cathy Dai, Kelly Moran Rodrigues, Andrew G. Day, Diane Lougheed
2016· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
PEDIATRIC SARCOIDOSIS: NOT SO UNCOMMON
K. MOHITE, S. T, T. CHANDRA, Karthik Arigela
2022· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mechanical Insufflation-Exsufflation
Isabelle Vivodtzev, Mathieu Delorme, François Lellouche
2024· editorial· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Armand Mekontso Dessap, Laurent Brochard, Christian Brun‐Buisson
2015· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Predicting Sleep Apnea in the Clinic
James A. Dosman, John Gjevre, Chandima Karunanayake, Donna Rennie, Josh Lawson, Louise Hagel +3 more
2014· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Linsey E. S. de Groot, Yanaika S. Sabogal Piñeros, René Lutter
2020· letter· en· CHEST Journal· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
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