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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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Textile materials and evaluations
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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
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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.

545 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.
545 works in the cohort · of 4,299,418page 7 of 11

Labels cover 1 of 545 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 545 of 545 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Clement Fabric Impressed Bowl (619p806)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Jar (620p16-2)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Clement Fabric Impressed Bowl (619p806)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
ASSESSING MAMMAL FUNCTIONAL DIVERSITY USING BODY MASS
Danielle Fraser, Meghan A. Balk, Silvia Pineda‐Munoz, Lauren Sallan, Laura C. Soul
2019· article· en· Abstracts with programs - Geological Society of America· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809103
AI Generated
2000· article· en· Time to knit· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Modeling Hierarchical Fiber Formation
Timothy McGee, Gurkaran Chowdhry, Matthew Leighton, Ashwin Samudre, Jessica Alföldi
2025· article· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Benefits vs. harms of using Mega Hair
Bárbara Evelyn Blanco, Thalita Grazielly Santos, Ana Carolina Rezende Araújo, Thaís Helena VelosoSoares, Olívia Cristina Alves Lopes, Esdras Haine Soares Vasconcelos +4 more
2022· article· en· International Journal of Advanced Engineering Research and Science· Materials Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Modeling Hierarchical Fiber Formation
Timothy McGee, Gurkaran Chowdhry, Matthew Leighton, Ashwin Samudre, Jessica Alföldi
2025· article· Open MIND· Materials Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Rise in respiratory illnesses impacting Alberta hospitals
2022· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
basketball defensive footwork drills pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Episode 2: Glory Days
2018· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Rimsherd (619p1095)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Fabric Impressed Jar (619p842)
rla-archaeology
2016· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Fabric Impressed Jar (619p842)
rla-archaeology
2016· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Rimsherd (619p923)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Rimsherd (619p25)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Rimsherd (619p25)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Rimsherd (619p923)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Vincent Fabric Impressed Rimsherd (619p1095)
rla-archaeology
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Wear
Sami Chatti, Luc Laperrière, Gunther Reinhart, Tullio Tolio
2019· book-chapter· en· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
York Knitting Mills
2024· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

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