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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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Nuclear reactor physics and engineering
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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.

1,251 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.
1,251 works in the cohort · of 4,299,418page 1 of 26

Labels cover 4 of 1,251 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 1,251 of 1,251 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.

afffundno abstractunlabeled
Geant4—a simulation toolkit
S. Agostinelli, John E. Allison, B. R. Ko, J. Apostolakis, H. M. Araújo, P. Arce +121 more
2003· article· en· Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment· Engineering
machine prediction:candidate · noneconsensus · none
24,478
citations
affgemma · no categorygpt · no categorymodels agree
The joint evaluated fission and fusion nuclear data library, JEFF-3.3
Arjan Plompen, Ó. Cabellos, C. De Saint Jean, Michael Fleming, A. Algora, M. Angelone +72 more
2020· article· lv· The European Physical Journal A· Engineering
machine prediction:candidate · noneconsensus · none
678
citations
affunlabeled
Nuclear waste from small modular reactors
Lindsay Krall, Allison Macfarlane, Rodney C. Ewing
2022· article· en· Proceedings of the National Academy of Sciences· Engineering
machine prediction:candidate · noneconsensus · none
122
citations
afffundno abstractunlabeled
Nuclear Science References Database
2014· article· en· Nuclear Data Sheets· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
70
citations
affno abstractunlabeled
Generation IV International Forum (GIF)
Igor Pioro, Gilles H. Rodriguez
2023· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
31
citations
aboutno affunlabeled
Quarterly Technical Progress Report
Ayman I. Hawari
2002· report· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
18
citations
affunlabeled
Investigation of LEV-III Aftertreatment Designs
Douglas Ball, Michael Zammit, Jeffrey Wuttke, Carlos Buitrago
2011· article· en· SAE international journal of fuels and lubricants· Engineering
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About