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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
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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.

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 36 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
Accountability Agreements in Ontario Hospitals: Are They Fair?
David Reeleder, Vivek Goel, Peter Singer, Douglas K. Martin
2006· article· en· Journal of Public Administration Research and Theory· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
How do we value a cure?
Don Husereau
2015· article· en· Expert Review of Pharmacoeconomics & Outcomes Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
afffundvenueaboutunlabeled
Antidepressant Use in Canada Has Stopped Increasing
Scott B. Patten, Jeanne V.A. Williams, Dina H. Lavorato, Kirsten M. Fiest, Andrew G. M. Bulloch, JianLi Wang
2014· article· en· The Canadian Journal of Psychiatry· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Addressing uncertainty in relative effectiveness assessments by HTA organizations
Rick A. Vreman, George Strigkos, Hubert G. M. Leufkens, Holger J. Schünemann, Aukje K. Mantel‐Teeuwisse, Wim Goettsch
2022· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
16
citations
afffundaboutunlabeled
SF‐6Dv2 preference value set for health utility in food allergy
Élise Dufresne, Thomas G. Poder, Kathryn Samaan, Jonathan Lacombe‐Barrios, Louis Paradis, Anne Des Roches +1 more
2020· article· en· Allergy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Adjudicating Outcomes: Fundamentals
Christopher Vannabouathong, Michel Saccone, Sheila Sprague, Emil H. Schemitsch, Mohit Bhandari
2012· article· en· Journal of Bone and Joint Surgery· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
16
citations
affno abstractunlabeled
Joint Utility Estimators in Substance Use Disorders
Eve Wittenberg, Jeremy W. Bray, Achamyeleh Gebremariam, Brandon Aden, Bohdan Nosyk, Bruce R. Schackman
2016· article· en· Value in Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
The Causal-Benefit Model to Prevent Cardiovascular Events
Ciaran Kohli‐Lynch, George Thanassoulis, Michael Pencina, Daniel Sehayek, Karol M. Pencina, Andrew E. Moran +1 more
2024· article· en· JACC Advances· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About