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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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The Lancet Respiratory Medicine
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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.

351 results · 1 filter active ·
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20132025
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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.
351 works in the cohort · of 4,299,418page 5 of 8

Labels cover 5 of 351 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 351 of 351 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
Global epidemiology and burden of interstitial lung disease
Paolo Spagnolo, Sabina A. Guler, Nazia Chaudhuri, Zarir Udwadia, Lucile Sésé, Bhavika Kaul +7 more
2025· review· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
27
citations
aboutno affunlabeled
Inhaled colistimethate sodium in patients with bronchiectasis and Pseudomonas aeruginosa infection: results of PROMIS-I and PROMIS-II, two randomised, double-blind, placebo-controlled phase 3 trials assessing safety and efficacy over 12 months
Charles Haworth, Michal Shteinberg, Kevin Winthrop, Alan R. Barker, Francesco Blasi, Katerina Dimakou +9 more
2024· article· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
Spotting the old foe—revisiting the case definition for TB
Rein M G J Houben, Hanif Esmail, Jon C. Emery, Louis R. Joslyn, Christopher Finn McQuaid, Nicolas A. Menzies +5 more
2019· article· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
COVID-19, asthma, and return to school
Elissa M. Abrams, Gráinne McGill, Sunil Bhopal, Ian Sinha, Ricardo M. Fernandes
2020· article· en· The Lancet Respiratory Medicine· Environmental Science
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Treatable traits in interstitial lung diseases: a call to action
Francesco Amati, Paolo Spagnolo, Justin M. Oldham, Christopher J. Ryerson, Anna Stainer, Andrea Gramegna +6 more
2023· article· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Central sleep apnoea in congestive heart failure
Atul Malhotra, Susheel P. Patil, Scott A. Sands, Najib Ayas
2015· article· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
afffundno abstractunlabeled
Exactly what do we know about tree pollen allergenicity?
Rita Sousa‐Silva, Audrey Smargiassi, Alain Paquette, David Kaiser, Dan Kneeshaw
2020· letter· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
afffundno abstractunlabeled
A glimpse into long COVID and symptoms
Chengliang Yang, Hedi Zhao, Scott J. Tebbutt
2022· letter· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Burnout in women intensivists: a hidden epidemic?
Ellen L. Burnham, Karen E. A. Burns, Marc Moss, Peter Dodek
2019· article· en· The Lancet Respiratory Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Tuberculosis and nutrition: what gets measured gets managed
Christopher Finn McQuaid, Pranay Sinha, Madhavi Bhargava, Chathika K. Weerasuriya, Rein M G J Houben, Anurag Bhargava
2023· article· en· The Lancet Respiratory Medicine· Nursing
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About