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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.

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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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BMC Medical Research Methodology
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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.

504 results · 1 filter active ·
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20012025
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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.
504 works in the cohort · of 4,299,418page 9 of 11

Labels cover 25 of 504 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 504 of 504 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundaboutgemma · metaresearchgpt · no categorymodels split
Pan-Canadian assessment of pandemic immunization data collection: study methodology
Jennifer Pereira, Susan Quach, Christine Heidebrecht, Julie Foisy, Sherman Quan, Michael Finkelstein +6 more
2010· article· en· BMC Medical Research Methodology· Medicine
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · metaresearch
6
citations
affunlabeled
An empirical comparison of statistical methods for multiple cut-off diagnostic test accuracy meta-analysis of the Edinburgh postnatal depression scale (EPDS) depression screening tool using published results vs individual participant data
Zelalem Negeri, Brooke Levis, John P. A. Ioannidis, Brett D. Thombs, Andrea Benedetti, Ying Sun +45 more
2024· review· en· BMC Medical Research Methodology· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · metaresearch+research_integrity
6
citations
afffundunlabeled
Model-based standardization using multiple imputation
Antonio Remiro‐Azócar, Anna Heath, Gianluca Baio
2024· article· en· BMC Medical Research Methodology· Mathematics
distilled prediction:candidate · metaresearchconsensus · metaresearch
5
citations
afffundunlabeled
A Bayesian multivariate latent t-regression model for assessing the association between corticosteroid and cranial radiation exposures and cardiometabolic complications in survivors of childhood acute lymphoblastic leukemia: a PETALE study
Miguel Caubet Fernandez, Simon Drouin, Mariia Samoilenko, Sophia Morel, Maja Krajinović, Caroline Laverdière +4 more
2019· article· en· BMC Medical Research Methodology· Medicine
distilled prediction:candidate · metaresearchconsensus · none
5
citations
afffundunlabeled
Stacked survival models for residual lifetime data
James H. McVittie, David B. Wolfson, Vittorio Addona, Zhaoheng Li
2022· article· en· BMC Medical Research Methodology· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaresearchconsensus · metaresearch
4
citations
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