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Record W4386315391 · doi:10.1007/978-3-031-41620-0

Business Process Management

2023· book· en· W4386315391 on OpenAlexfundno aff
Chiara Di Francescomarino, Andrea Burattin, Christian Janiesch, Shazia Sadiq

Bibliographic record

VenueLecture notes in computer science · 2023
Typebook
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
FundersUniversità degli Studi di CamerinoUniversiteit HasseltUniverza v MariboruLibera Università di BolzanoUniversität Duisburg-EssenUniversität PaderbornTartu ÜlikoolUniverza v LjubljaniNational Research University Higher School of EconomicsUniversity of New South WalesKU LeuvenUniversidade do Estado do Rio de JaneiroTechnion-Israel Institute of TechnologyTechnische Universität MünchenHumboldt-Universität zu BerlinUniversiteit GentUniversität des SaarlandesUniwersytet WarszawskiPontificia Universidad Católica de ChileUniversità degli Studi di TrentoUniversità della CalabriaUniversità degli Studi di PadovaEinstein Stiftung BerlinTechnische Universiteit EindhovenJulius-Maximilians-Universität WürzburgKhalifa University of Science, Technology and ResearchBundesministerium für Bildung und ForschungUniversiteit UtrechtWestfälische Wilhelms-Universität MünsterSapienza Università di RomaUniversity of QueenslandUniversitat Politècnica de CatalunyaPhilipps-Universität MarburgInstituto Tecnológico y de Estudios Superiores de MonterreyUniversity of AdelaideRijksuniversiteit GroningenMemorial University of NewfoundlandYork UniversitySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversidad de SevillaQueensland University of TechnologyCommonwealth Scientific and Industrial Research OrganisationUlsan National Institute of Science and TechnologyIndian Council of Agricultural ResearchPohang University of Science and TechnologyMinistry of Education, IndiaUniversität St. GallenPennsylvania State UniversityUniversity of SydneyUniversität RegensburgUniversität RostockUniversity of South AustraliaUniversity of HaifaUniversität MannheimUniversität HamburgRWTH Aachen UniversityDanmarks Tekniske UniversitetNorges Teknisk-Naturvitenskapelige UniversitetSveučilište u ZagrebuUniversity of MelbourneFriedrich-Alexander-Universität Erlangen-NürnbergUniversity of Twente
KeywordsComputer scienceBusiness processProcess (computing)Business process managementProcess managementProgramming languageWork in processOperations management

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0710.060

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.272
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractno

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