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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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Health and Medical Research Impacts
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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.

2,224 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.
2,224 works in the cohort · of 4,299,418page 20 of 45

Labels cover 25 of 2,224 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 2,224 of 2,224 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.

venueno affunlabeled
Clinical Research in Saudi Arabia: Trainee Knowledge and Attitude
Ziad Wael Zekry, Moosa Riyadh Khalifah, Joud Enabi, Hamza M. Kossai Enabi, Basel Al-Khatib, Albara Saleh Alsayed
2021· article· en· The Journal of Medicine Law & Public Health· Medicine
machine prediction:candidate · metaresearchconsensus · none
1
citations
aboutno affunlabeled
The Neuro has a new boss
Susan Pinker
2002· article· en· Europe PMC (PubMed Central)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
<i>Proceedings B</i> 2015: the year in review
Spencer C. H. Barrett
2016· article· en· Proceedings of the Royal Society B Biological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A retirement ‘hobby’
John H. Borden
2017· article· en· Science· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Excerpts from the World Medical Literature
Cleve Ziegler
2017· letter· en· Journal of Obstetrics and Gynaecology Canada· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Begin with Ethics. The Rest Will Follow.
Keith MacLellan
2002· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Earliest issues of CMAJ now available online
Patrick S. Sullivan
2007· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affunlabeled
CMA Board of Directors responds
Brian Brodie
2016· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About