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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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Education and Military Integration
Retraction
Abstract
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Label agreement
Label status

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.

110 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.
110 works in the cohort · of 4,299,418page 2 of 3

Labels cover 1 of 110 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 110 of 110 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
Introduction
Elspeth Cameron Ritchie, Harold Kudler, Robert L. Koffman
2019· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
In Memoriam: Raymond Pickholtz 1932-2022
L.B. Milstein, Bijan Jabbari
2023· article· en· IEEE Communications Magazine· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AFNC CLARIFIES STANCE
Barbara C. Brannon, Paul K. Carlton
2001· letter· en· AJN American Journal of Nursing· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Staff Training Camp: Back To Bushcraft Basics
Paul Kirtley
2014· article· en· Journal of Synchrotron Radiation· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Marketing the College Brand in Ontario.
Ronald Holgerson
2005· article· en· The College Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Case Study
Sophia Palahicky, Adrianna Andrews-Brown
2017· book-chapter· en· Advances in educational technologies and instructional design book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About