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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
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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
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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 19 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.

affno abstractunlabeled
Stopping a trial early in oncology: for patients or for industry?
Penelope A. Bradbury, Ralph M. Meyer, Joseph L. Pater, Dongsheng Tu, Lesley Seymour, Lois E. Shepherd +1 more
2009· letter· en· Annals of Oncology· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · research_integrity
2
citations
affno abstractunlabeled
Spin and bias: the tip of the iceberg
Francisco Vera-Badillo, Ian F. Tannock
2013· letter· en· Annals of Oncology· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
2
citations
aboutno affunlabeled
Critical concepts in adaptive clinical trials
Park JJH, K Thorlund, Mills EJ
2018· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · metaresearch
2
citations
venueno affunlabeled
Combining Correlated P-values From Primary Data Analyses
Jai Won Choi, Balgobin Nandram, Boseung Choi
2022· article· en· International Journal of Statistics and Probability· Mathematics
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
2
citations
venueno affunlabeled
Modified McNemar Test
I. C. A. Oyeka
2012· article· en· International Journal of Statistics in Medical Research· Mathematics
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch
2
citations
affunlabeled
Adaptive Seamless Dose-Finding Trials
Ningyuan Chen, Amin Khademi
2024· article· en· Manufacturing & Service Operations Management· Mathematics
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
2
citations
affunlabeled
The transition from phase II to phase III studies
Ian F. Tannock, Aliya Gulamhusein, Dominik Berthold
2007· article· en· Journal of Clinical Oncology· Mathematics
distilled prediction:candidate · metaresearchconsensus · metaresearch
2
citations
affunlabeled
How cutting-edge trial design can assess outcomes
Ary Serpa Neto, Ewan C. Goligher, Carol Hodgson
2021· review· en· Current Opinion in Critical Care· Mathematics
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
2
citations

How this was built: Screen · Findings · About