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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
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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 44 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.

aboutno affunlabeled
Full questionnaire.
2025· article· Figshare· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Understanding aggression in combat-sport athletes
Eduardo González‐Alemañy, M.A. Bobes León, Jorge L. Armony, Ana Olivera, L. González Carballido, D. Milán Ricketts
2023· article· en· International Journal of Psychophysiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
SHOCK SYNOPSIS APRIL 2024
Diana Julia Tedesco, Fadi Khalaf, Marc G. Jeschke
2024· article· en· Shock· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The authors reply
Adam Linder, James A. Russell
2015· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
What’s New in Shock? JUNE 2015
David J. Hackam
2015· article· en· Shock· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PERMISSION TO USE
2015· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
In Reply
James A. Russell
2017· letter· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The authors reply
R. Phillip Dellinger, Roman Jaeschke
2013· letter· en· Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
Sepsis management in a rural hospital in Northwest Ontario
Len Kelly, Sharen Madden, Catherine Wong, Sonya Fewer, Tamar Shemesh-Lobl, Shanthive Asokan
2025· article· en· Canadian Journal of Rural Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
My advice to the NEXT generation
Margaret S. Herridge
2022· editorial· en· Intensive Care Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
679
Andrea Blotsky, Louay Mardini, Dev Jayaraman
2012· article· en· Critical Care Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About