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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
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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
aboutaboutness

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
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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 teacher distillation outputs. 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
distilled prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Partially Adaptive Treatment Strategies
Denis Talbot, Erica E. M. Moodie
2023· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Exact Randomization Technique
Rob Moir
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
0
citations
affunlabeled
Loss Function
David Tritchler
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Pharmacoepidemiology, Overview
Samy Suissa
2005· other· en· Encyclopedia of Biostatistics· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Pharmacoepidemiology, Overview
Samy Suissa
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrity+insufficient_payloadconsensus · metaepi_narrow+insufficient_payload
0
citations
venueno affunlabeled
ROC Analysis for Phase II Group Sequential Basket Clinical Trial
Sirao Wang, Ao Yuan, Liansheng Tang, Hong Fang, Ming Tan, Leighton Chan
2017· article· en· International Journal of Statistics in Medical Research· Mathematics
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · metaresearch
0
citations
afffundunlabeled
Adaptive trials in stroke: Current use & future directions
Kathryn S. Hayward, Emily J Dalton, Bruce Campbell, Pooja Khatri, Sean P. Dukelow, Hannah Johns +8 more
2024· preprint· en· medRxiv· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
0
citations
venueno affunlabeled
Dr. Izawa’s rebuttal
Jonathan I. Izawa
2013· article· en· Canadian Urological Association Journal· Mathematics
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
Sample Size Calculation in Clinical Studies: Some Common Scenarios
Mohammad Chowdhury, Khokan C. Sikdar, Tanvir Chowdhury Turin
2017· article· en· International Journal of Statistics in Medical Research· Mathematics
distilled prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
0
citations
affno abstractunlabeled
Reply to the Letter to the Editor on ‘Cost-opportunity analysis in clinical oncology: from the “wild far-west” to a correct integration of the disciplines, avoiding the “war of the worlds”’, by D. Tassinari et al. (Ann Oncol 2006; 17: 876)
Guido Bocci, Marco Tuccori, Urban Emmenegger, V. Liguori, Alfredo Falcone, Robert S. Kerbel +1 more
2005· article· en· Annals of Oncology· Mathematics
distilled prediction:candidate · metaresearchconsensus · metaresearch
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
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Index
Michael O’Kelly, Bohdana Ratitch
2014· paratext· en· Mathematics
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About