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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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Middle East and Rwanda Conflicts
Retraction
Abstract
Evidence source
Study design
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.

758 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.
758 works in the cohort · of 4,299,418page 7 of 16

Labels cover 3 of 758 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 758 of 758 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.

venueno affunlabeled
10.51847/85sgSmY47M
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
A Conversation about the Reconciliation Framework
Raymond Frogner, Crystal Gail Fraser, Greg Bak, Genevieve Weber
2024· article· en· Archivaria· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.51847/ebeLFjiMRS
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
President’s Podium | Mot de la présidente
Dorrie Morrow
2007· article· fr· Canadian journal of optometry/CJO. Canadian journal of optometry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
President’s Podium | Mot de la présidente
Dorrie Morrow
2007· article· fr· Canadian journal of optometry/CJO. Canadian journal of optometry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
President’s Podium | Mot de la présidente
Dorrie Morrow
2007· article· fr· Canadian journal of optometry/CJO. Canadian journal of optometry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)82487-3
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Persuader les prisonniers
Brian Langille
2015· article· fr· Revue internationale du Travail· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.3917/ris.073.0033
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Building Stock and Building Typology of Kigali, Rwanda
Felix Bachofer, Andreas Braun, Florian Adamietz, Sally Murray, Pablo d’Angelo, Edward Kyazze +2 more
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Involvement in the Middle East<sup>1</sup>
Ali Dizboni, Peter Gizewski
2016· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About