MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Statistical Methods in Clinical Trials
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 9 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.

afffundunlabeled
Computing the polytomous discrimination index
Douglas C. Dover, Sunjidatul Islam, Cynthia M. Westerhout, Linn E. Moore, Padma Kaul, Anamaria Savu
2021· article· en· Statistics in Medicine· Mathematics
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractgemma · no categorygpt · metaresearchmodels split
Designing Clinical Trials for Dystonia
Wendy R. Galpern, Christopher S. Coffey, Alberto Albanese, Ken Cheung, Cynthia Comella, Dixie Ecklund +10 more
2013· review· en· Neurotherapeutics· Mathematics
machine prediction:candidate · metaresearchconsensus · none
17
citations
fundno affunlabeled
Online error rate control for platform trials
David S. Robertson, James Wason, Franz König, Martin Posch, Thomas Jaki
2023· article· en· Statistics in Medicine· Mathematics
machine prediction:candidate · metaresearchconsensus · none
16
citations
affno abstractunlabeled
Combining P-Values Via Averaging
Vladimir Vovk, Ruodu Wang
2018· article· en· SSRN Electronic Journal· Mathematics
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Design of a multi-arm randomized clinical trial with no control arm
Amalia Magaret, Derek C. Angus, Neill K. J. Adhikari, Patrick Banura, Niranjan Kissoon, James V. Lawler +1 more
2015· article· en· Contemporary Clinical Trials· Mathematics
machine prediction:candidate · metaresearchconsensus · none
16
citations
affunlabeled
Bayesian methods for pilot studies
Andrew R. Willan, Lehana Thabane
2020· article· en· Clinical Trials· Mathematics
machine prediction:candidate · noneconsensus · none
16
citations
affgemma · metaresearchgpt · metaresearchmodels split
Proposed triggers for retiring a living systematic review
M. Hassan Murad, Zhen Wang, Haitao Chu, Lifeng Lin, Ibrahim K El Mikati, Joanne Khabsa +4 more
2023· article· en· BMJ evidence-based medicine· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
15
citations

How this was built: Screen · Findings · About