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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 129 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.

aboutno affunlabeled
Contributors from COMPUS
2009· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
ECR Spotlight – Maranda van Oirschot
2025· article· en· Journal of Experimental Biology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
VP138 Integration Of Ethics In Health Technology Assessment
Christian Bellemare, Suzanne K. Bédard, Pierre Dagenais, Jean-Pierre Béland, Louise Bernier, Charles-Étienne Daniel +4 more
2017· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Progress: Measuring the Benefit
Richard Wennberg, Camilla Zimmermann
2006· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OP108 Health Intervention Assessment Report Adaptation: Tunisian Experience
Wafa Allouche, Asma Ben Brahem, Hella Ouertatani, Mouna Jameleddine, Hela Grati, Khalil Jlassi +5 more
2017· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Opportunity Cost
Tooru M. Mizuno, Ashwini Padhi, Naomi Fineberg, Michael H. Bloch, James F. Leckman, Rick A. Bevins +39 more
2010· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A1 LONGITUDINAL CHANGES IN THE DIRECT COST OF IBD CARE IN THE BIOLOGIC ERA
Laura E. Targownik, Julia Witt, C N Bernstein, H Singh, Antonio Aviña Zubieta, Eric I. Benchimol +8 more
2019· article· en· Journal of the Canadian Association of Gastroenterology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Guiding the optimal use of insulin analogues
Bruce R. Leslie, D. Belanger, Barb Shea
2009· article· en· Canadian Journal of Diabetes· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About