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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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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.

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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.

506 results · 1 filter active ·
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20102023
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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.
506 works in the cohort · of 4,299,418page 7 of 11

Labels cover 0 of 506 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 506 of 506 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.

venueaboutno affunlabeled
Introduction
Dawne McCance
2015· article· en· Mosaic· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Corpus
Vincent Meessen
2020· article· en· Mosaic· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Q&A with Erin Manning
Erin Manning
2022· article· en· Mosaic· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The Matsuki Con-struction
Andrea Robbins, Max Becher
2022· article· en· Mosaic· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Untimely Impersonal
Erin Manning
2022· article· en· Mosaic· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Q&A with Dominic Pettman
Dominic Pettman
2022· article· en· Mosaic· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Obstacles for a Renovation, 2019
Ibon Aranberri
2019· article· en· Mosaic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Q&A with Paul Huebener
Paul Huebener
2022· article· en· Mosaic· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Order Catastrophically Unknown
David Wills
2018· article· en· Mosaic· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Q&A with Jonas Staal
J. F. Staal
2022· article· en· Mosaic· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
A Q&A with Chigbo Arthur Anyaduba
Chigbo Arthur Anyaduba
2022· article· en· Mosaic· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
In Spite of the World
Diane Enns
2018· article· en· Mosaic· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Q&A with Melanie Braith
Melanie Braith
2022· article· en· Mosaic· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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