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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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Cystic Fibrosis Research Advances
Retraction
Abstract
Evidence source
Study design
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.

3,093 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.
3,093 works in the cohort · of 4,299,418page 57 of 62

Labels cover 8 of 3,093 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 3,093 of 3,093 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.

affvenueno abstractunlabeled
Errata in published paper
Megan Lefebvre, Yutaka Yasui, Duncan Saunders, Christine Hughes, Stan Houston
2015· erratum· en· Canadian Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Fibrose kystique atypique
Carrie Schram
2012· article· fr· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
The cystic fibrosis effort in Canada: Advancing on many fronts
André M. Cantin, Yves Berthiaume, Pamela A. Sokol, Larry C. Lands, Josée Chiarot, Cathleen F. Morrison
2004· letter· en· Pediatric Pulmonology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Improving shared decision-making in bronchiectasis
Paul McCallion, Judy Bradley, Adam Lewis, Lisa Robinson, Joanne Lally, Anthony De Soyza
2025· review· en· BMJ Open Respiratory Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
WS12.1 The prevalence of substance abuse in cystic fibrosis
Sunny Malhotra, Nancy Brager, Harvey Rabin, Michael D. Parkins, Meyen Hertzsprung, Joon Yau Leong
2012· article· en· Journal of Cystic Fibrosis· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Conscience Issue Tracker - January 2025
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Cystic Fibrosis
André M. Cantin
2010· book-chapter· en· Humana Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Sweat chloride testing: a quality assurance review
Violeta G. Kramer, Vijaylaxmi Grey, Chantal Robitaille, Susan M. Tange
2000· article· en· Clinical Biochemistry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
todd lammle ccna pdf free download
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Profile of cystic fibr
2016· article· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

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