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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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Business Process Modeling and Analysis
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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.

844 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.
844 works in the cohort · of 4,299,418page 16 of 17

Labels cover 0 of 844 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 844 of 844 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
E-Business Reference Models
Vojislav B. Mišić, Jianbo Zhao
2009· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Message from the SMRPM 2019 Workshop Chairs
Evellin Cardoso, Chiara Ghidini, Marco Montali
2019· article· en· Business, Management and Accounting
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Reply to “On Clinical Utility and Systematic Reporting in Case Studies of Healthcare Process Mining. Comment on: 10.3390/ijerph17041348 ‘Towards the Use of Standardised Terms in Clinical Case Studies for Process Mining in Healthcare’ ”
Emmanuel Helm, David Baumgartner, Alvin C. Lin, Josef Küng
2020· letter· en· International Journal of Environmental Research and Public Health· Business, Management and Accounting
distilled prediction:candidate · metaresearchconsensus · none
0
citations
afffundunlabeled
Training the campus
Greg Deveau
2006· article· en· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Impactos em pessoas e processos decorrentes das mudanças nas organizações para atender as demandas da sociedade atual
Wesley Cidade da Silva Machado, E. M. dos Santos, Luiz Henrique Pimentel Nogueira, Yann Ricardo Vieira da Silva Ramos, Iago Nogueira dos Santos, Cláudia Andrezza Vilela Barbosa
2024· article· pt· Revista Científica Multidisciplinar Núcleo do Conhecimento· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · metaepi_narrow+insufficient_payload
0
citations
affunlabeled
Fast Termination and Workflow Nets
Piotr Hofman, Filip Mazowiecki, Philip Offtermatt
2023· book-chapter· en· Lecture notes in computer science· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
An OLAP Rule Environment for Reactive Performance Monitoring
Katherine Chengli, Liam Peyton
2017· book-chapter· en· Lecture notes in business information processing· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Software Support
William M. Farmer
2025· book-chapter· en· Computer science foundations and applied logic· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affunlabeled
E-Business Reference Models
Vojislav B. Mišić, Jing Zhao
2008· book-chapter· en· Electronic Commerce· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
OR based multi-objective decision-making in e-commerce improvement
Venkata Surya Bhavana Harish Gollavilli, Harikumar Nagarajan, Poovendran Alagarsundaram, Kalyan Gattupalli, Surendar Rama Sitaraman, Haris M. Khalid
2025· article· en· Service Oriented Computing and Applications· Business, Management and Accounting
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
FCVW
Ivan Tomek, Elhadi Shakshuki
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Ontology Based Object-Oriented Domain Modeling
Jöerg Evermann, Yair Wand
2009· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Flow-based Adaptive Information Integration
Dickson K.W. Chiu, Thomas Trojer, Hua Hu, Haiyang Hu, Yi Zhuang, Patrick C. K. Hung
2010· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
A Knowledge Management Model for Patterns
Pankaj Kamthan, Terrill Fancott
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
venueno affunlabeled
CSWB: Where complexity serves simple ideals
Norman E. Taylor
2018· article· en· Journal of Community Safety and Well-Being· Business, Management and Accounting
distilled prediction:candidate · stsconsensus · none
0
citations
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