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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
Evidence
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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 7 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.

aboutno affunlabeled
Geostiba (Sibiota) nebuligena Gusarov, sp. n.
2002· article· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Relative Detection Limit
Kermit K. Murray, Robert K. Boyd, Marcos N. Eberlin, G. John Langley, Liang Li, Yasuhide Naito
2016· dataset· en· IUPAC Standards Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
In memory of Lai K. Chan
Christian Genest, John F. Brewster
2021· article· en· Quality Engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Beta Function
Steve Drekic
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Beta Function
Steve Drekic
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sampling in Industrial Standards
Frank Palcat
2007· other· en· Encyclopedia of Statistics in Quality and Reliability· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sensitivity
Stephen D. Walter
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Page 085
2011· article· en· Pittsburg State University Digital Commons (Pittsburg State University)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Sampling in Industrial Standards
Frank Palcat
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Bilan de campagne dans Chicoutimi
2019· article· fr· Érudit (Université de Montréal)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Quality Control, Computing in
John Noguera, Jon A. Breslaw
2015· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Process Capability Indices, Comparison of
Fred Spiring
2007· other· en· Encyclopedia of Statistics in Quality and Reliability· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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