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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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Advanced Causal Inference Techniques
Retraction
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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.

1,326 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.
1,326 works in the cohort · of 4,299,418page 27 of 27

Labels cover 35 of 1,326 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 1,326 of 1,326 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.

affno abstractunlabeled
The reliability of risk of bias tools for nonrandomized studies
I Kalaycioglu, Bastien Rioux, BJ Neves, ANN-MARIE E. NEHME, Lahoud Touma, B Dansereau +2 more
2021· article· en· Annals of Epidemiology· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affaboutunlabeled
External Validity in Distributed Data Networks
Michael Webster‐Clark, Sengwee Toh, Jonathan Arnold, Kathleen M. McTigue, Thomas W. Carton, Robert W. Platt
2022· preprint· en· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
affunlabeled
Copelatus alternatus Sharp 1882
2022· article· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Response Letter to Pamela E Macintyre’s Letter to the Editor
Shania Liu, Asad E. Patanwala, Justine Naylor, Jennifer Stevens, Bernadette Bugeja, David Begley +4 more
2024· letter· en· Journal of Pain· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial Comment on Tay <i>et al</i> .
Joseph L. Chin
2017· editorial· he· Journal of Endourology· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Panel Discussion 2
Matthew M. Philp, G. Payne, A. J. Cunningham, M. Vachon
2008· article· en· Current Oncology· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dynamic Treatment Regimes (Updated)
Erica E. M. Moodie, David A. Stephens
2024· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
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