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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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Graphite, nuclear technology, radiation studies
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Abstract
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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.

383 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.
383 works in the cohort · of 4,299,418page 1 of 8

Labels cover 0 of 383 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 383 of 383 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.

aboutno affunlabeled
The crystal structure of mineral fibres: 1. Chrysotile
Simone Pollastri, Natale Perchiazzi, Marco Lezzerini, Jasper R. Plaisier, A. Cavallo, Maria Chiara Dalconi +2 more
2016· article· it· CINECA IRIS Institutial research information system (University of Pisa)· Materials Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Landmarks for graphitization
A. Oberlin, Sylvie Bonnamy, Kyoichi Oshida
2006· article· en· TANSO· Materials Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Introduction
Igor Pioro
2016· book-chapter· en· Elsevier eBooks· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
20
citations
affunlabeled
Perspective on Site Selection of Small Modular Reactors
XinLi Zhang, Guohe Huang, Lirong Liu, J. P. Chen, Bo Luo, Yen‐Pei Fu +3 more
2020· article· en· Journal of Environmental Informatics Letters· Materials Science
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Comparative Study of Five Transferable Turf Residue Methods
Dennis R. Klonne, J. E. Cowell, M. Mueth, D. Eberhart, L. Rosenheck, J. H. Ross +1 more
2001· article· en· Bulletin of Environmental Contamination and Toxicology· Materials Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Re-Os systematics and chronology of graphite
Jonathan Toma, Robert A. Creaser, Colin Card, Richard A. Stern, Thomas Chacko, Matthew Steele‐MacInnis
2022· article· en· Geochimica et Cosmochimica Acta· Materials Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Gas fluidization of natural graphite flakes
Alexandre Bernard, Nada Khalil, Imtiaz Ahmed, David McCalden, Jan B. Haelssig, Arturo Macchi +1 more
2023· article· en· Powder Technology· Materials Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Too Good to Leave on the Shelf
David J. LeBlanc
2010· article· en· Mechanical Engineering· Materials Science
machine prediction:candidate · insufficient_payloadconsensus · none
8
citations
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