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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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Statistical Methods in Clinical Trials
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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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.

1,557 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,557 works in the cohort · of 4,299,418page 30 of 32

Labels cover 46 of 1,557 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 1,557 of 1,557 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
A New Margin Function for Anti-infective Trials
Félix Almendra‐Arao, Hortensia Reyes-Cervantes, José Juan Castro-Alva
2017· article· en· International Journal of Statistics and Probability· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Partially Adaptive Treatment Strategies
Denis Talbot, Erica E. M. Moodie
2023· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Exact Randomization Technique
Rob Moir
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Loss Function
David Tritchler
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Pharmacoepidemiology, Overview
Samy Suissa
2005· other· en· Encyclopedia of Biostatistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Pharmacoepidemiology, Overview
Samy Suissa
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Dr. Izawa’s rebuttal
Jonathan I. Izawa
2013· article· en· Canadian Urological Association Journal· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Progression and Death as Competing Risks in Ovarian Cancer
Christine zu Eulenburg, Sven� Mahner, Linn Woelber, Karl Wegscheider
2013· article· en· International Journal of Statistics in Medical Research· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Index
Michael O’Kelly, Bohdana Ratitch
2014· paratext· en· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About