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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 23 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.

affunlabeled
Value of Information Analysis in Models to Inform Health Policy
Christopher Jackson, Gianluca Baio, Anna Heath, Mark Strong, Nicky J. Welton, Ed Wilson
2021· article· en· Annual Review of Statistics and Its Application· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
There is life beyond the statistical significance
Agustín Ciapponi, José M. Belizán, Gilda Piaggio, Sanni Yaya
2021· editorial· en· Reproductive Health· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
32
citations
affgemma · no categorygpt · no categorymodels agree
Why Can’t a Woman Be More Like a Man?
Jean Gray
2007· letter· en· Clinical Pharmacology & Therapeutics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Double discounting of QALYs
Linda MacKeigan, Amiram Gafni, Bernie J. OʼBrien
2002· article· en· Health Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Bias in Clinical Research
Susan Stuckless, Patrick S. Parfrey
2021· book-chapter· en· Methods in molecular biology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
31
citations
affaboutunlabeled
Rapid Review Summit: an overview and initiation of a research agenda
Julie Polisena, Chantelle Garritty, Craig A. Umscheid, Chris Kamel, Kevin Samra, Jeannette Smith +1 more
2015· article· en· Systematic Reviews· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
31
citations
afffundunlabeled
Advancing the field of health systems research synthesis
Étienne V Langlois, M. Kent Ranson, Till Bärnighausen, Xavier Bosch‐Capblanch, Karen Daniels, Fadi El‐Jardali +16 more
2015· review· en· Systematic Reviews· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
31
citations
affno abstractunlabeled
Impact of biomarkers on clinical trial risk in breast cancer
Jayson L. Parker, Nadia Lushina, Prabjot S. Bal, Teresa M. Petrella, Rebecca Dent, Gilberto Lopes
2012· article· en· Breast Cancer Research and Treatment· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
31
citations

How this was built: Screen · Findings · About