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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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Sepsis Diagnosis and Treatment
Retraction
Abstract
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Label agreement
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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.

2,945 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,945 works in the cohort · of 4,299,418page 53 of 59

Labels cover 9 of 2,945 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 2,945 of 2,945 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 authors reply:
Kenji Kubo, Masaaki Sakuraya, Hiroshi Sugimoto, Nozomi Takahashi, Kenichi Kano, Jumpei Yoshimura +2 more
2025· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
190220 Earth Compact 2020
2019· other· en· Figshare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
The Dose Makes the Poison*
Marc M. Perreault
2019· editorial· en· The Canadian Journal of Hospital Pharmacy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply to Collins and Le Manach
Teresa M. Kieser, Michael Rose, Stuart J. Head
2016· letter· en· European Journal of Cardio-Thoracic Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pediatric Rapid Response Systems
Karen Dryden‐Palmer, Christopher S. Parshuram
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sepsis score summary.
2024· article· en· Figshare· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Fluids in Septic Shock
B Rochwerg, Diane Heels‐Ansdell, Peggy Austin, Tina Millen, Lisa Buckingham, Frédérick D’Aragon +5 more
2025· article· en· CHEST Critical Care· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
NPA_ref11734
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About