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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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Chronic Obstructive Pulmonary Disease (COPD) Research
Retraction
Abstract
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Label agreement
Label status

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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

5,522 results · 1 filter active ·
Results by year
20002025
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Categories
Machine labels · sparse coverage
Evidence
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
5,522 works in the cohort · of 4,299,418page 86 of 111

Labels cover 18 of 5,522 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 5,522 of 5,522 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
CT Scan Segmental Airway Lumen Area: Response
Neil C. Thomson, Charles McSharry, Rekha Chaudhuri
2015· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Take a Deep Breath
Kylie Hill, Thomas E. Dolmage
2021· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The COPD Foundation on Its Twentieth Anniversary
Elisha Malanga, Byron Thomashow, Jean Ann Wright, Linda Walsh, Cathy Gray Carlomagno, Jamie Sullivan +11 more
2024· article· en· Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial: Risk Prediction in Smokers
Jørgen Vestbo
2020· editorial· en· Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Omar S. Usmani, MeiLan K. Han, David A. Kaminsky, James C. Hogg, Josephine Hjoberg, Naimish Patel +5 more
2022· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response
Adam Raymakers, Mohsen Sadatsafavi, Don D. Sin, Mary A. De Vera, Larry D. Lynd
2018· letter· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Banff 2022 Lung Summary Report
Elizabeth N. Pavlisko, Benjamin Adam, Gerald J. Berry, Fiorella Calabrese, Najir Cortes-Santiago, Carolyn Glass +8 more
2023· article· en· SSRN Electronic Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Iso 175 pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundaboutno affunlabeled
We must join forces in the battle against COPD
Anders Østrem, Siân Williams, Hilary Pinnock
2015· letter· en· European Respiratory Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About