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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.

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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 3 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.

affunlabeled
How to Use a Noninferiority Trial
Sohail Mulla, Ian Scott, Cynthia A. Jackevicius, John J. You, Gordon Guyatt
2012· article· en· JAMA· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
93
citations
affno abstractunlabeled
Comparing samples—part I
Martin Krzywinski, Naomi Altman
2014· article· en· Nature Methods· Mathematics
machine prediction:candidate · noneconsensus · none
89
citations
affunlabeled
Failures in Phase III: Causes and Consequences
Boštjan Šeruga, Alberto Ocaña, Eitan Amir, Ian F. Tannock
2015· review· en· Clinical Cancer Research· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
87
citations
affaboutunlabeled
Randomized Phase II Trials: Inevitable or Inadvisable?
Hui Gan, Axel Grothey, Gregory R. Pond, Malcolm J. Moore, Lillian L. Siu, Daniel J. Sargent
2010· article· en· Journal of Clinical Oncology· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
86
citations
affunlabeled
Alternative designs for clinical trials in rare diseases
Lusine Abrahamyan, Brian M. Feldman, George Tomlinson, Marie E. Faughnan, Sindhu R. Johnson, Ivan Diamond +1 more
2016· review· en· American Journal of Medical Genetics Part C Seminars in Medical Genetics· Mathematics
machine prediction:candidate · metaresearchconsensus · none
83
citations
affunlabeled
Good Laboratory Practice for optimization research
Graham Kendall, Ruibin Bai, Jacek Błażewicz, Patrick De Causmaecker, Michel Gendreau, Robert John +7 more
2015· article· en· Journal of the Operational Research Society· Mathematics
machine prediction:candidate · metaresearchconsensus · none
78
citations
afffundno abstractunlabeled
Simple randomization did not protect against bias in smaller trials
Tri‐Long Nguyen, Gary S. Collins, André Lamy, P.J. Devereaux, Jean‐Pierre Daurès, Paul Landais +1 more
2017· article· en· Journal of Clinical Epidemiology· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
76
citations
afffundunlabeled
False Discovery Rate Control with E-values
Ruodu Wang, Aaditya Ramdas
2022· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
75
citations
affno abstractunlabeled
Analysis of variance and blocking
Martin Krzywinski, Naomi Altman
2014· article· en· Nature Methods· Mathematics
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
Recommendations for applying tests of equivalence
Robert A. Cribbie, Jamie A. Gruman, Chantal A. Arpin‐Cribbie
2003· article· en· Journal of Clinical Psychology· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
72
citations
affunlabeled
Design Issues in Randomized Phase II/III Trials
Edward L. Korn, Boris Freidlin, Jeffrey S. Abrams, Susan Halabi
2012· article· en· Journal of Clinical Oncology· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
68
citations

How this was built: Screen · Findings · About