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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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Facility Location and Emergency Management
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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.

627 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.
627 works in the cohort · of 4,299,418page 11 of 13

Labels cover 1 of 627 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 627 of 627 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.

affno abstractunlabeled
Natural Disasters
Abhaya S. Prasad, Louis Hugo Francescutti
2017· book-chapter· en· Elsevier eBooks· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Scheduling Ambulance Crews for Maximum Coverage
Güneş Erdoğan, Erhan Erkut, Ármann Ingólfsson, Gilbert Laporte
2009· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Tight VC-Dimension Analysis of Clustering Coresets with Applications
Vincent Cohen-Addad, Andrew Draganov, Matteo Russo, David Saulpic, Chris Schwiegelshohn
2025· book-chapter· en· Society for Industrial and Applied Mathematics eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Le bien-être et la santé autochtones
2011· report· fr· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trend 2000 - 2011. Statistics Canada. CANSIM: Families, Households and Housing - Family Types | Country: Canada | Table: Family characteristics, labour income profile, by family type | Variable: Male partners in couple families, Number of persons or families with self-employment income | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-098.
2015· other· en· Data Planet· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Special issue on location analysis
H.A. Eiselt, John Current
2002· article· en· Computers & Operations Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Recent Applications
Dimitris Souravlias, Konstantinos E. Parsopoulos, Ilias Kotsireas, Pãnos M. Pardalos
2021· book-chapter· en· SpringerBriefs in optimization· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundno abstractunlabeled
The conditional p-dispersion problem
Marilène Cherkesly, Claudio Contardo
2020· article· en· Journal of Global Optimization· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
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