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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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American Journal of Public Health
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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.

521 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.
521 works in the cohort · of 4,299,418page 11 of 11

Labels cover 0 of 521 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 521 of 521 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.

aboutno affunlabeled
Kerr and Wood Respond
Thomas Kerr, Evan Wood
2011· article· en· American Journal of Public Health· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Killing Vaping and Americans
David Sweanor, Adam R. Houston
2022· editorial· en· American Journal of Public Health· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Voigt Responds
Kristin Voigt
2016· letter· fr· American Journal of Public Health· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
MAHA’s Hallucinations
Amy A. Eyler, Jenine K. Harris, Kimberly J. Johnson
2025· editorial· en· American Journal of Public Health· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Katz et al. Respond
Amy S. Katz, Patricia O’Campo, Benjamin Brisbois, Suzanne Zerger, Stephen W. Hwang
2018· letter· en· American Journal of Public Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
WU AND SCHIMMELE RESPOND
Zheng Wu, Christoph M. Schimmele
2005· article· en· American Journal of Public Health· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
HOMEDES AND UGALDE RESPOND
Núria Homedes, Antonio Ugalde
2004· article· en· American Journal of Public Health· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Fischer et al. Respond
Benedikt Fischer, Wim van den Brink, Wayne Hall, Bernard LeFoll, Jürgen Rehm, Robin Room
2017· letter· en· American Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reducing Obesity Among Children.
Mila González Dávila, Victor Puac Polanco, Luís Segura
2017· article· en· American Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
<i>BALUJA ET AL. RESPOND</i>
Kaari Flagstad Baluja, Julie Park, Dowell Myers
2003· article· he· American Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Elizabeth Fee (1946–2018)
Anne‐Emanuelle Birn, Theodore M. Brown
2019· article· en· American Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Examination of Bias in Study of Clinic Closures
Margaret V. Power
2017· letter· en· American Journal of Public Health· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affunlabeled
Dupras and Williams-Jones Respond
Charles Dupras, Bryn Williams–Jones
2012· article· en· American Journal of Public Health· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Lira and Naimi Respond
Marlene C. Lira, Timothy S. Naimi
2022· letter· en· American Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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