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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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Studies in health technology and informatics
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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.

990 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.
990 works in the cohort · of 4,299,418page 16 of 20

Labels cover 2 of 990 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 990 of 990 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
A Model for Context-Sensitive Digital Integrators
Craig Kuziemsky, Casper Knudsen, Christian Nøhr, Sidsel Villumsen, Melissa Baysari
2024· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Gender Harmony: A Case for Nursing Informatics
Karen L. Courtney, Kelly Davison, Mikayla Hunter, Alexander Watson, Jess Crawford
2024· article· en· Studies in health technology and informatics· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Applying Logic to the Healthcare Journey
Amanda L. Joseph, Mary Jean Costello, Helen Monkman, Yuri Quintana
2023· article· en· Studies in health technology and informatics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Real-Time Simulation of Transesophageal Echocardiography
Sebastian Ullrich, Jaques S. Milner, John Moore, Daniel Evestedt, Terry M. Peters
2014· article· en· Studies in health technology and informatics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Developing an Online Decision Aid for Osteoarthritis
Glenn Salkeld, Sally Wortley, David J. Hunter, Hema Umapathy, Jack Dowie
2015· article· en· Studies in health technology and informatics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Intuitive Interfaces for Smart Digital Health
Oladapo Oyebode, Grace Ataguba, Fidelia A. Orji, Gerry Chan, Rita Orji
2025· book-chapter· en· Studies in health technology and informatics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Nurses’ Use of mHealth Functions
Charlene Ronquillo, V. Susan Dahinten, Vicky Bungay, Leanne M. Currie
2021· article· en· Studies in health technology and informatics· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Model Human Behavior: Don't Constrain It!
Donald Cowan, Paulo Alencar, William Malyk, Joel So, Denise Y. P. Henriques, Shirley Fenton
2011· article· en· Studies in health technology and informatics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About