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Record W4386066778 · doi:10.1109/cvpr52729.2023.00004

Table of Contents

2023· article· en· W4386066778 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersInstitute of Automation, Chinese Academy of SciencesJoint Research CentreUniversity at BuffaloUniversity of Texas MD Anderson Cancer CenterUniversity of Illinois at Urbana-ChampaignHelmholtz Artificial Intelligence Cooperation UnitUniversitätsklinikum HeidelbergBeijing National Research Center For Information Science And TechnologyMacau University of Science and TechnologyShanghaiTech UniversitySingapore Management UniversityUniversity of Chinese Academy of SciencesUniversitat Autònoma de BarcelonaChina Academy of Space TechnologyNational Research Nuclear University MEPhIIstituto Italiano di TecnologiaUniversity of Science and Technology of ChinaFuzhou UniversityHelmholtz Zentrum MünchenUniversidade do MinhoSoutheast UniversityNanjing UniversityPeking UniversityUniverza v LjubljaniKorea Advanced Institute of Science and TechnologySkolkovo Institute of Science and TechnologyNational University of Defense TechnologySingapore University of Technology and DesignCentre d'Imagerie BioMédicaleRadboud Universitair Medisch CentrumUniversity of TorontoUniversity of Electronic Science and Technology of ChinaArgonne National LaboratoryAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalShanghai Jiao Tong UniversityCollege of Engineering, Michigan State UniversityHong Kong Polytechnic UniversityZhejiang University of TechnologyUniversity of WarwickIndian Institute of Technology MadrasUniversity of Hong KongUniversité de StrasbourgNanjing Medical UniversityPeng Cheng LaboratoryYonsei UniversityEidgenössische Technische Hochschule ZürichÉcole Polytechnique Fédérale de LausanneHankuk University of Foreign StudiesEast China Normal UniversityInstitut National de la Santé et de la Recherche MédicaleSun Yat-sen UniversityMassachusetts Institute of TechnologySouth China University of TechnologyCentre Hospitalier Universitaire VaudoisUniversity of SurreyChongqing UniversityAcademia SinicaMasarykova UniverzitaUniversiteit van AmsterdamUniversity of TsukubaItä-Suomen YliopistoWestlake UniversityShandong UniversityNanyang Technological UniversityShaanxi Normal UniversityCity University of Hong KongUniversity of WaterlooRadboud UniversiteitJohns Hopkins UniversityHarbin Institute of TechnologyZayed UniversityUniversität ZürichOxford Brookes UniversityNanjing University of Aeronautics and AstronauticsNational University of SingaporeUniversity of LeedsNational Institute of Advanced Industrial Science and TechnologyUniversity of SydneyBoston CollegeUniversité de LausanneManchester Metropolitan UniversityMassachusetts General HospitalUniversity College LondonUniversity of OxfordUniversità degli Studi di TrentoUniversity of TokyoNational Laboratory of Pattern RecognitionZhejiang UniversityAnt GroupUniversitat Pompeu FabraUniversidade de MacauWenzhou UniversityTencentHuazhong University of Science and TechnologyDeakin UniversityIntuitive SurgicalInha UniversitySichuan UniversityNorthwestern Polytechnical UniversityUniversity of AberdeenDeutsches KrebsforschungszentrumUniversity of WashingtonUniversität zu LübeckHaute école Spécialisée de Suisse OccidentaleMichigan State UniversityYale UniversityUniversitair Medisch Centrum UtrechtYork UniversityNorthwestern UniversityUniversitat de BarcelonaCentre National de la Recherche ScientifiqueGentofte HospitalKing's College LondonImperial College LondonUniversitetet i TromsøUniversity of Nebraska Medical CenterChinese University of Hong KongUniversity of MinnesotaTechnische Universität MünchenTsinghua UniversityStyrelsen för Internationellt UtvecklingssamarbeteChinese Academy of SciencesKorea UniversityCarnegie Mellon UniversityIndraprastha Institute of Information Technology, DelhiIndian Institute of ScienceKorea Institute of Science and TechnologyBrigham and Women's HospitalVysoké Učení Technické v BrněAalto-YliopistoNvidiaTechnische Universität DresdenXiamen UniversityUniversity of Pennsylvania
KeywordsTable (database)Computer scienceComputer graphics (images)Database

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)0.007
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 score0.097
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0020.000
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.9030.867

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 head0.096
GPT teacher head0.213
Teacher spread0.117 · 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

Citations0
Published2023
Admission routes1
Has abstractno

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