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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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Machine Learning in Healthcare
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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.

1,008 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.
1,008 works in the cohort · of 4,299,418page 19 of 21

Labels cover 4 of 1,008 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 1,008 of 1,008 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
RunD2.nc
Sisi Chen, Lulin Xue, M. K. Yau
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
RunD1.nc
Sisi Chen, Lulin Xue, M. K. Yau
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
AI in the Intensive Care Unit
Dipayan Chaudhuri, Sandeep S. Kohli
2023· other· en· AI in Clinical Medicine· Computer Science
distilled prediction:candidate · metaresearch+research_integrityconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(06)71703-7
2000· article· en· Time to knit· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Quality of Data in Asthma Records
João Fonseca, Altamiro Costa‐Pereira, Luís Delgado, Susana Cadinha, Daniela Malheiro, Marianela Vaz
2005· article· en· Allergy & Clinical Immunology International - Journal of the World Allergy Organization· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
0
citations
aboutno affunlabeled
The Future of Online Learning | TF193
2019· other· en· Internet Archive (Internet Archive)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrity+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
TOC and Biomarkers Box_core_Figs2and7.xlsx
2022· dataset· en· Geological Survey of Denmark and Greenland (GEUS)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
RunD2.nc
Sisi Chen, Lulin Xue, M. K. Yau
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About