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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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Ethics in Clinical Research
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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.

2,822 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.
2,822 works in the cohort · of 4,299,418page 31 of 57

Labels cover 145 of 2,822 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 2,822 of 2,822 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.

affaboutunlabeled
Health Data Governance for Research Use in Alberta
Namneet Sandhu, Sarah Burkhead Whittle, Danielle A. Southern, Bing Li, Erik Youngson, Jeffrey A. Bakal +8 more
2023· article· en· International Journal for Population Data Science· Medicine
machine prediction:candidate · metaresearch+open_scienceconsensus · none
5
citations
affno abstractunlabeled
Commentary on failure in HIV research
Vinh‐Kim Nguyen
2015· article· en· Anthropology and Medicine· Medicine
machine prediction:candidate · metaresearchconsensus · none
5
citations
afffundaboutunlabeled
Evaluating the impact of a SIMPlified LaYered consent process on recruitment of potential participants to the <i>Staphylococcus aureus</i> Network Adaptive Platform trial: study protocol for a multicentre pragmatic nested randomised clinical trial (SIMPLY-SNAP trial)
Sean Wei Xiang Ong, Todd C. Lee, Robert Fowler, Robert K. Mahar, Ruxandra Pinto, Asgar Rishu +11 more
2024· article· en· BMJ Open· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
5
citations
affunlabeled
A survey of newborn blood spot screening practices
Christine Cavanagh, Catherine Coppinger, Linda S. Franck
2005· article· en· British Journal of Midwifery· Medicine
machine prediction:candidate · metaresearchconsensus · none
4
citations
affno abstractunlabeled
Are all consents really informed?
C. Carrié, Carolyn Freeman
2001· editorial· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
4
citations
afffundunlabeled
Does policy grow on trees?
Bartha Maria Knoppers
2014· letter· en· BMC Medical Ethics· Medicine
machine prediction:candidate · research_integrityconsensus · none
4
citations

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