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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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The Lancet Digital Health
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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.

118 results · 1 filter active ·
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20192025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
118 works in the cohort · of 4,299,418page 2 of 3

Labels cover 3 of 118 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 118 of 118 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Digital health at the age of the Anthropocene
Guillaume Chevance, Eric B. Hekler, Maxime Efoui-Hess, Job Godino, Natalie M. Golaszewski, Lisa Gualtieri +7 more
2020· article· en· The Lancet Digital Health· Engineering
distilled prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Communicating in a public health crisis
Hui Wang, Paul D. Cleary, Julian Little, Charles Auffray
2020· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
28
citations
affaboutunlabeled
Early human judgment forecasts of human monkeypox, May 2022
Thomas McAndrew, Maimuna S. Majumder, Andrew A. Lover, Srini Venkatramanan, Paolo Bocchini, Tamay Besiroglu +7 more
2022· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Machine learning COVID-19 detection from wearables
Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B. Inglis, Allison Shapiro +4 more
2023· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · none
17
citations
affgemma · metaresearchgpt · no categorymodels split
Turning the crank for machine learning: ease, at what expense?
Tom Pollard, Irene A. Chen, Jenna Wiens, Steven Horng, D. J. N. Wong, Marzyeh Ghassemi +3 more
2019· letter· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
17
citations
afffundaboutunlabeled
Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial
Amir Hadid, Emily G. McDonald, Qianggang Ding, Christopher Phillipp, Audrey Trottier, Philippe C. Dixon +5 more
2025· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Mobile phone-enabled adherence in HIV/AIDS
Edward J. Mills, Richard Lester
2019· letter· en· The Lancet Digital Health· Health Professions
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
10
citations
affunlabeled
Genotyping SARS-CoV-2 through an interactive web application
Hassaan Maan, Hamza Mbareche, Amogelang R. Raphenya, Arinjay Banerjee, Jalees A. Nasir, Robert Kozak +4 more
2020· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Evaluating neonatal medical devices in Africa
Amy Sarah Ginsburg, William Macharia, J. Mark Ansermino
2021· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Value of artificial intelligence in neuro-oncology
Sebastian Voigtlaender, Thomas Nelson, Philipp Karschnia, Eugene Vaios, Michelle M. Kim, Philipp Lohmann +6 more
2025· review· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
3D technology and telemedicine in humanitarian settings
Pierre Moreau, Samar Ismael, Hatim Masadeh, Esraa Al Katib, Laetitia Viaud, Clara Nordon +1 more
2020· article· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · noneconsensus · none
8
citations
affaboutunlabeled
Pain in the newborn brain: a neural signature
Emma G. Duerden, Steven P. Miller
2020· letter· en· The Lancet Digital Health· Medicine
distilled prediction:candidate · research_integrityconsensus · none
4
citations
aboutno affunlabeled
Who does the model learn from?
Marie‐Laure Charpignon, Leo Anthony Celi, Mathew Cherian Samuel
2021· letter· en· The Lancet Digital Health· Computer Science
distilled prediction:candidate · scholarly_communication+research_integrityconsensus · none
4
citations

How this was built: Screen · Findings · About