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Record W4387746969 · doi:10.1111/poms.13763

Issue Information

2023· paratext· en· W4387746969 on OpenAlexfundno aff

Bibliographic record

VenueProduction and Operations Management · 2023
Typeparatext
Languageen
FieldEngineering
TopicTransportation Systems and Logistics
Canadian institutionsnot available
FundersCollege of Engineering, Michigan State UniversityHefei University of TechnologyHefei UniversityXiamen UniversityTechnion-Israel Institute of TechnologyTechnische Universität MünchenShanghai Jiao Tong UniversityUniversiteit van TilburgHong Kong Polytechnic UniversityRijksuniversiteit GroningenTulane UniversitySouthern Methodist UniversityEidgenössische Technische Hochschule ZürichUniversity of CyprusWilfrid Laurier UniversityPurdue UniversityUniversity of Western MacedoniaTemple UniversityNottingham Trent UniversityUniversity of OregonKoç ÜniversitesiXiamen University of TechnologyUniversity of South CarolinaGeorgia State UniversityCardiff UniversityIndian Institute of Management BangaloreCalifornia State Polytechnic University, PomonaDrexel UniversityWashington University in St. LouisUniversity of PittsburghSouth China University of TechnologyErasmus Universiteit RotterdamJohns Hopkins UniversityUniversity of WashingtonYork UniversityRensselaer Polytechnic InstituteNorthwestern UniversityUniversity at BuffaloUniversity of RochesterCarnegie Mellon UniversityUniversity of DaytonMichigan State UniversityVirginia Commonwealth UniversityArizona State UniversityHarvard Business SchoolUniversity of OttawaUniversity of Colorado BoulderBoston CollegeCity University of Hong KongUniversity of North Carolina at Chapel HillHarvard UniversityTrent UniversityPortland State UniversityNational University of SingaporeUniversity of Nevada, RenoOhio State UniversityUniversity of PennsylvaniaUniversity College LondonBrigham Young UniversityUniversity of North Carolina WilmingtonUniversity of OxfordLunds UniversitetPennsylvania State UniversityNanyang Technological UniversityGeorgetown University
KeywordsCitationComputer scienceProduction (economics)Library scienceMicroeconomicsEconomics

Abstract

fetched live from OpenAlex

with flexible dual sourcing and lost sales

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.151
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.8490.789

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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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