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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.

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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 12 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.

aboutno affunlabeled
OP48 A Contextual Model For Evaluating The Value Of Multi-Indication Drugs
Elise Wu, James M. Pellissier, Leana Bellanca, Raphaël Normand, Robert Hughes, Aran Ratciffe
2018· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OP35 Integrated Knowledge Translation In Policy Development
Glenna Laing, Rume Djebah, Judy Hoff, Robert W. Shaffer, Sheila Rutledge Harding, Carmen Moga +2 more
2018· article· en· International Journal of Technology Assessment in Health Care· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OP67 Considerations Of Treatment Novelty In Health Technology Assessment
Patricia Synnott, Daniel Enright, Dominic Voehler, Stacey Kowal, Daniel A. Ollendorf
2022· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
VP191 Peripheral Nerve Field Stimulation For Chronic Low Back Pain
Marc Rhainds, Brigitte Larocque, Sylvain Bussières, Alice Nourrisat, Martin Coulombe, Léo Cantin +2 more
2017· article· en· International Journal of Technology Assessment in Health Care· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Charting the way forward for HTA in Asia-Pacific: HTAsiaLink’s strategic plan
Ryan Jonathan Sitanggang, Lapad Pongcharoenyong, Natcha Kongkam, Wendy Babidge, Auliya A. Suwantika, Izzuna Mudla Mohamed Ghazali +8 more
2025· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Mapping frameworks for synthesizing qualitative evidence in health technology assessment
Marília Mastrocolla de Almeida Cardoso, Rafael Thomaz Marques, Juliana Machado‐Rugolo, Lehana Thabane, Vilanice Alves de Araújo Püschel, Silke Anna Theresa Weber +7 more
2024· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
aboutno affunlabeled
PP106 Regional Guidance On Aids For Ostomy
Anna Redomi, Marika Torbol, Anna Cavazzana, Rita Mottola, Margherita Andretta, Giovanna Scroccaro
2017· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
VP07 Cost-Effectiveness Of HTA Fees
George Wang, R. Macaulay
2019· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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