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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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Respiratory Support and Mechanisms
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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.

3,606 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.
3,606 works in the cohort · of 4,299,418page 25 of 73

Labels cover 13 of 3,606 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 3,606 of 3,606 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.

afffundunlabeled
What Is the Point of Bayesian Analysis?
Ewan C. Goligher, Michael O. Harhay
2023· article· en· American Journal of Respiratory and Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Ventilator-induced lung injury
Nicola Ngiam, Brian P. Kavanagh
2011· review· en· Current Opinion in Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Impact on the ability of healthcare professionals to correctly identify patient-ventilator asynchronies of the simultaneous visualization of estimated muscle pressure curves on the ventilator display: a randomized study (Pmus study)
Daniel Oliveira Silva, Patrícia Nery de Souza, Mayson Laércio de Araújo Sousa, Caio C. A. Morais, Juliana Carvalho Ferreira, Marcelo Alcântara Holanda +3 more
2023· article· en· Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Awake Prone Positioning in Adults With COVID-19
Jian Luo, Ivan Petrovitch Pavlov, Elsa Tavernier, Yonatan Perez, Aileen Kharat, Bairbre McNicholas +241 more
2025· review· en· JAMA Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About