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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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Advanced Statistical Process Monitoring
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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.

431 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.
431 works in the cohort · of 4,299,418page 2 of 9

Labels cover 1 of 431 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 431 of 431 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.

afffundunlabeled
Economic design of VSI control charts
Fong‐Jung Yu, A.H.M.A. Rahim, Hsiang Chin
2007· article· en· International Journal of Production Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Replacement time of a cutting tool subject to variable speed
M Tail, Soumaya Yacout, Marek Balazinski
2009· article· en· Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture· Decision Sciences
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Assessing a Binary Measurement System
Oana Danila, Stefan H. Steiner, Robert J. MacKay
2008· article· en· Journal of Quality Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
29
citations
afffundno abstractunlabeled
Detecting complete and joint mixability
Giovanni Puccetti, Ruodu Wang
2014· article· en· Journal of Computational and Applied Mathematics· Decision Sciences
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
A New Chart for Monitoring Service Process Mean
Su‐Fen Yang, Tsung‐Chi Cheng, Ying‐Chao Hung, Smiley W. Cheng
2011· article· en· Quality and Reliability Engineering International· Decision Sciences
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
Monitoring Warranty Claims With Cusums
Jerald F. Lawless, M. J. Crowder, Ker‐Ai Lee
2012· article· en· Technometrics· Decision Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
A statistical primer on subgroup analyses
Milan Milojevic, Aleksandar Nikolić, Peter Jüni, Stuart J. Head
2020· review· en· Interactive Cardiovascular and Thoracic Surgery· Decision Sciences
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About