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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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Medication Adherence and Compliance
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
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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.

1,323 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.
1,323 works in the cohort · of 4,299,418page 22 of 27

Labels cover 9 of 1,323 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 1,323 of 1,323 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
STROBE statement.
2025· article· Figshare· Medicine
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
afffundunlabeled
South Asians’ cardiac medication adherence
Twyla Ens, Cydnee Seneviratne, Charlotte Jones, Theresa Green, Kathryn King‐Shier
2013· article· en· European Journal of Cardiovascular Nursing· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Coming Up…
2024· article· en· Alcoholism & Drug Abuse Weekly· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Of 124
2016· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
i DEFINITIONS
2008· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2024· dataset· en· Global Biodiversity Information Facility· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Coming Up…
2024· article· en· Alcoholism & Drug Abuse Weekly· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Medications Cost Resources
Alice S. Bristow, Leslie M. Jones, Rachael T. Bruce, Joan S. Grant
2023· review· en· Home Healthcare Now· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The authors reply
Johannes F.E. Mann, Philipp Joseph, Salim Yusuf
2023· letter· en· Kidney International· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About