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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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Health Systems, Economic Evaluations, Quality of Life
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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.

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.

6,862 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.
6,862 works in the cohort · of 4,299,418page 50 of 138

Labels cover 97 of 6,862 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 6,862 of 6,862 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.

affaboutunlabeled
Economic evaluation of vaccines in Canada: A systematic review
Ayman Chit, Jason K. H. Lee, Minsup Shim, Van Hai Nguyen, Paul Grootendorst, Robert Van Exan +1 more
2016· review· en· Human Vaccines & Immunotherapeutics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Building an Adverse Outcome Pathway network for COVID-19
Penny Nymark, Laure‐Alix Clerbaux, Maria João Amorim, Christos Andronis, F Bernardi, Gillina F. G. Bezemer +14 more
2024· article· en· Frontiers in Systems Biology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Variational Fair Clustering
Imtiaz Masud Ziko, Jing Yuan, Éric Granger, Ismail Ben Ayed
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Discrimination and reliability: Equal partners?
Geoffrey R. Norman
2008· letter· en· Health and Quality of Life Outcomes· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
8
citations
affaboutunlabeled
MENTORING A HEALTH TECHNOLOGY ASSESSMENT INITIATIVE IN KAZAKHSTAN
Sergei Muratov, David Hailey, Vicki Foerster, Bruce Brady, Don Juzwishin, Philip la Fleur +1 more
2014· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affvenueunlabeled
Monitoring Health Technology Assessment Agencies
Pascale Lehoux, Renaldo N. Battista, Jean-Marie Lance
2000· article· en· Canadian Journal of Program Evaluation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
afffundno abstractunlabeled
Comparison of EQ-5D Values Sets Among South American Countries
Romina A. Tejada, Luz Gibbons, María Belizán, Ericson L. Gutiérrez, Nora Reyes Puma, Federico Augustovski
2021· article· en· Value in Health Regional Issues· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Priority setting
Douglas K. Martin, Jennifer L. Gibson, Peter Singer
2008· book-chapter· en· Cambridge University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affaboutno abstractunlabeled
Canada finally opens up data on new drugs and devices
Joel Lexchin, Matthew Herder, Peter Doshi
2019· editorial· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+open_scienceconsensus · none
8
citations

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