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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
Retraction
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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
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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 56 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.

affvenueunlabeled
Human study participants
Donald J. Willison, Nancy Ondrusek, John McLaughlin
2015· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
afffundunlabeled
Response to Merz
Pepijn Al, Jamie Brehaut, Charles Weijer
2023· letter· en· Trials· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Battling a Thousand Points of Might
Jonathan Kimmelman
2009· letter· en· The Hastings Center Report· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Culling Decision Tools for Biobankers
Peter H. Watson
2025· article· en· Biopreservation and Biobanking· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Medizinische Ontologien: das Ende des MeSH
2006· article· en· German Medical Science (German Research Foundation)· Medicine
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
aboutno affno abstractunlabeled
very easy for sensitive medical information to be accessed and sold by unscrupulous individuals that had access to the DNA database. Not only that, but with the increasing use of DNA in medical situations, the absolute protection of results of analysis cannot be guaranteed against seizure by law enforcement agencies. An interesting aspect to refusing to give a sample voluntarily is that such refusal raises an air of suspicion. This in turn gives an aspect to proceedings in court which move from innocent until proved guilty towards guilty until exonerated by DNA. This is simply not how it should be. The more and more samples on the DNA database, the more likely it becomes that a chance match results in a wrongful conviction. As of early 2004, Canada and France have shown a greater degree of responsibility than the progressive belief of the Forensic Science Service that they can get away with any infringement of what is very personal information. What Canada and France have done is made it mandatory that samples from accused persons who are subsequently not charged or acquitted should not be retained. Even more sensible, if samples are taken from juveniles, even if convicted, they will be destroyed when the individual becomes a legal adult. As we in the UK seem to be marching towards institutional control of our most personal information, American law enforcement agencies are astonished that in the land of the free we seem to have no interest in a public debate of what might become not just control of information, but control of the individual. 2 Cloning as a legal issue
2013· book-chapter· en· Medicine
machine prediction:candidate · stsconsensus · none
0
citations

How this was built: Screen · Findings · About