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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.

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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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Clinical Infectious Diseases
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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.

1,528 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.
1,528 works in the cohort · of 4,299,418page 29 of 31

Labels cover 5 of 1,528 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 1,528 of 1,528 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
Reply to Hughes et al
César I. Fernández-Lázaro, Bradley J. Langford, Kevin L. Schwartz
2019· letter· fr· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Photo Quiz
2001· article· en· Clinical Infectious Diseases· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
afffundno abstractunlabeled
Reply to Marx et al
Jean‐Louis Pépin, Éric Frost
2011· article· fr· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to Jouhten et al
Dina Kao, Braden Millan, Karen Madsen
2016· letter· fr· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reply to Colebunders
Kyle Rosenke, Jennifer Adjemian, Vincent J. Munster, James E. Strong, Armand Sprecher, Heinz Feldmann +1 more
2016· letter· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Long-term Immunogenicity and Boostability of the 13-valent Pneumococcal Conjugate Vaccine Followed by the 23-valent Pneumococcal Polysaccharide Vaccine in Adults Receiving Immunosuppressive Therapy and Adults With HIV—3-year Follow-up of a Prospective Cohort Study
Jenny L Schnyder, Sabine Haggenburg, Hannah M Garcia Garrido, Bob Meek, Martin P. Grobusch, Abraham Goorhuis
2025· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
A Painful Leg Lump
Abdullah Bukhari, Justin Z. Chen, AR Joffe, Isabelle Chiu
2016· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
HIV's Challenge to Measles Control
Sol Katz
2007· letter· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Practicing With Intent: How to Teach an Old Dogma New Tricks
Matthew C. Phillips, Kusha Davar, Sarah Freling, Steven Y. C. Tong, Todd C. Lee, Emily G. McDonald +10 more
2025· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to Galperine et al and Jansen
Susy Hota, George Tomlinson, Susan M. Poutanen
2017· letter· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
An Elderly Woman with a Diffuse Annular Eruption
Donald C. Vinh, Nolan Finlayson, John M. Toole, Sate Hamza, John M. Embil
2008· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to Cawthorne and Cooke
Jerome A. Leis, Matthew Muller
2021· letter· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to Musher
Nicholas Brousseau, Mary Slack, Pauline Waight, Ray Borrow, Shamez Ladhani
2015· letter· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
COVID-19: Find the Right Questions to be Answered
Andrea Giacomelli, Spinello Antinori, Andrea Gori, Alessandro Cozzi‐Lepri
2024· letter· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Reply to Wilson et al
Edwin D. Charlebois, Moupali Das, Travis C. Porco, D Havlir
2011· article· fr· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reply to Yu et al.
Lionel A. Mandell, John G. Bartlett, Scott F. Dowell, Thomas M. File, Daniel M. Musher, Cynthia G. Whitney
2004· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
15 August News
Donald Kaye
2003· article· en· Clinical Infectious Diseases· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
News
Donald Kaye
2009· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
An Elderly Woman with a Diffuse Annular Eruption
Donald C. Vinh, Nolan Finlayson, John Toole, Sate Hamza, John M. Embil
2008· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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