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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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International Journal of Technology Assessment in Health Care
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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
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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.

589 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.
589 works in the cohort · of 4,299,418page 6 of 12

Labels cover 3 of 589 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 589 of 589 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
Primary data collection in health technology assessment
Michelle McIsaac, Ron Goeree, James M. Brophy
2007· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
10
citations
aboutno affunlabeled
SCREENING AND CLINICAL MANAGEMENT OF PROSTATE CANCER
Saskia M.A.B. Peters, Albert J. Jovell, Anna García‐Altés, Mateu Serra‐Prat
2001· article· en· International Journal of Technology Assessment in Health Care· Medicine
machine prediction:candidate · noneconsensus · 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
affunlabeled
METHODOLOGICAL CHALLENGES IN EVALUATING THE VALUE OF REGISTERS
Jayne Taylor, Hannah Patrick, Georgios Lyratzopoulos, Bruce Campbell
2014· article· en· International Journal of Technology Assessment in Health Care· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
8
citations
affunlabeled
A Non-inferiority Framework for Cost-Effectiveness Analysis
Xuanqian Xie, Lindsey Falk, James M. Brophy, Hong Tu, Jennifer Guo, Olga Gajic‐Veljanoski +3 more
2019· article· en· International Journal of Technology Assessment in Health Care· Medicine
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
How does HTA addresses current social expectations? An international survey
Hubert Gagnon, Georges-Auguste Legault, Christian Bellemare, Monelle Parent, Pierre Dagenais, Suzanne K.-Bédard +5 more
2020· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
7
citations
affunlabeled
Systems thinking in health technology assessment: a scoping review
Marina Richardson, Lauren Ramsay, Joanna Bielecki, Whitney Berta, Beate Sander
2021· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
fundno affunlabeled
Early technology review: towards an expedited pathway
Leslie Levin, Murray Sheldon, Robert S. McDonough, Naomi Aronson, Maroeska M. Rovers, C. Michael Gibson +2 more
2024· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
7
citations
affunlabeled
A test of prospect theory
David Feeny, Ken Eng
2005· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
affaboutunlabeled
Cost-effectiveness analysis of medical documentation alternatives
Renata Kopach, Somayeh Sadat, Ian D. Gallaway, Glen Geiger, Wendy J. Ungar, Peter C. Coyte
2005· article· en· International Journal of Technology Assessment in Health Care· Health Professions
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Commentary
H. David Banta, Egon Jonsson
2006· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
aboutno affunlabeled
History of health technology assessment: A commentary
S. Sadasivan
2009· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · stsconsensus · none
7
citations
affunlabeled
AGING AND HEALTH TECHNOLOGY ASSESSMENT: AN IDEA WHOSE TIME HAS COME
Don Juzwishin, Heather McNeil, Jeonghoon Ahn, Yingyao Chen, Americo Cicchetti, Naoto Kume +2 more
2018· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
PD45 Paying For Digital Health: What Evidence Is Needed?
Anita Burrell, Vlad Zah, Zsombor Zrubka, Carl V. Asche
2022· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Core competencies for ethics experts in health technology assessment
Pietro Refolo, Kenneth Bond, Bart Bloemen, Ilona Autti‐Rämö, Bjørn Hofmann, Claudia Mischke +8 more
2020· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations

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