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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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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
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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 32 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.

affno abstractunlabeled
Rebuttal From Drs Meduri and Rochwerg
G. Umberto Meduri, Bram Rochwerg
2021· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Lung Ultrasound in the ED
Ross Prager, Julian Owen
2024· editorial· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Vasopressin and Cardiac Performance
Cheryl L. Holmes, Keith R. Walley, James A. Russell
2002· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
COPD
Michael Studnicka, Andreas Horner, Lea Sator, A. Sonia Buist, Bernd Lamprecht, Nanshan Zhong +155 more
2020· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Minnesota Critical Care Working Group 1
Jeffrey R. Dichter, Daniel R. Brown, Clara Zamorano, Joshua Cohen, Elizabeth A. Miller, David E Niccum +34 more
2024· article· en· CHEST Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Response
Lewis Rubinson, Dennis Amundson, James Geiling, Asha V. Devereaux
2009· letter· en· CHEST Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Response
D. S. Chemla, David Boulate, Jason Weatherald, Edmund Lau, Philippe Hervé
2019· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Bronchodilator Responsiveness Over Time
Sunita Mulpuru, Shawn D. Aaron
2023· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Response
Samy Suissa, Pierre Ernst
2020· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Media Portrayals of the ARDS
Shannon M. Fernando, Rebecca Mathew, Carol Hodgson, Eddy Fan, Daniel Brodie
2021· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About