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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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Museums and Cultural Heritage
Retraction
Abstract
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Label agreement
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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.

1,550 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.
1,550 works in the cohort · of 4,299,418page 29 of 31

Labels cover 2 of 1,550 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 1,550 of 1,550 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.

fundno affunlabeled
Ouvir, questionar, dar lugar
2025· dissertation· pt· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
novembre-décembre 2015
2015· paratext· fr· La Lettre de l’OCIM· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Museum of London Archaeology (MOLA) Team. MOLA
S. P. Cerasano
2024· article· en· Renaissance and Reformation· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Musées de science et centres de science
Bernard Schiele
2015· book-chapter· fr· Presses de l’Université de Montréal eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
TRAINING FOR THE UNIVERSAL MUSEUM
Martin Segger
2009· other· en· Redalyc (Universidad Autónoma del Estado de México)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
O museu como ambiente sensorial
Constance Classen, David Howes, Patricia Rodrigues de Souza
2025· article· pt· REVER - Revista de Estudos da Religião· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
mai-juin 2016
2016· paratext· fr· La Lettre de l’OCIM· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundvenueaboutunlabeled
Letter from the Editor
Kaushar Mahetaji
2022· letter· en· The iJournal Student Journal of the Faculty of Information· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book Reviews
Ayelet Zohar, Mirjami Schuppert, Aileen Burns, Johan Lundh, Eunice Bélidor, Susana S. Martins +1 more
2013· article· en· Journal of Curatorial Studies· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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