Bibliographic record
Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Neural Network Applications
Canadian institutionsnot available
FundersShenyang Institute of AutomationInstitute of Automation, Chinese Academy of SciencesLeibniz-GemeinschaftUniversity of California, San DiegoUniversity of North Carolina at Chapel HillUniversity of Colorado BoulderUniversity of Illinois at Urbana-ChampaignSamsungAustralian Centre for Robotic VisionIndraprastha Institute of Information Technology, DelhiIndian Institute of Technology RoparNational Technical University of AthensAnt Financial Services GroupBeijing National Research Center For Information Science And TechnologyMacau University of Science and TechnologyHefei University of TechnologyUniversity of Chinese Academy of SciencesState Key Laboratory of Industrial Control TechnologyState Key Laboratory of RoboticsHefei UniversityUniversity of Science and Technology of ChinaFuturewei TechnologiesNanjing UniversityPeking UniversitySkolkovo Institute of Science and TechnologyKorea Advanced Institute of Science and TechnologyWuhan UniversityUniversity of TorontoUniversity of Electronic Science and Technology of ChinaSingapore University of Technology and DesignNanjing University of Science and TechnologyLos Alamos National LaboratoryNational and Kapodistrian University of AthensNankai UniversityMinistry of Education, IndiaShanghai Jiao Tong UniversityChinese University of Hong KongNational Laboratory of Pattern RecognitionIndiana University-Purdue University IndianapolisZhejiang UniversitySiemensUniversità degli Studi di TrentoUniversity of TokyoUniversity of RochesterZhengzhou UniversityTianjin UniversityTel Aviv UniversityRIKENGottfried Wilhelm Leibniz Universität HannoverTexas State UniversityUniversity of Hong KongNational Research University Higher School of EconomicsHarbin Institute of TechnologyHong Kong University of Science and TechnologyUniversität HeidelbergHuazhong University of Science and TechnologyPeng Cheng LaboratoryDalian University of TechnologyBeijing University of Posts and TelecommunicationsNorthwestern Polytechnical UniversityBeijing Institute of TechnologyEast China Normal UniversitySun Yat-sen UniversityIndian Institute of Technology JodhpurKarl-Franzens-Universität GrazTechnische Universität MünchenTsinghua UniversityChinese Academy of SciencesUniversity of TwenteUniversity of California, Santa BarbaraUniversiteit van AmsterdamUniversity of AdelaideShandong UniversityNanyang Technological UniversityUniversity of OxfordKing Abdullah University of Science and TechnologyUniversity of PennsylvaniaXiamen UniversityTencentInstitute of Science and Technology AustriaShenzhen Research Institute, City University of Hong KongMassachusetts Institute of TechnologySouth China University of TechnologyUniversity of SurreyNew York University Abu DhabiMultimedia UniversityTU Graz, Internationale Beziehungen und MobilitätsprogrammeUniversità di BolognaBaiduDrexel UniversityUniversity of OregonEberhard Karls Universität TübingenTaser InternationalYork UniversityRensselaer Polytechnic InstituteUniversity of Central FloridaNorthwestern UniversityLinköpings UniversitetUniversity of MiamiUniversität MannheimTsinghua Shenzhen International Graduate SchoolUniversity of Technology SydneyUniversità Degli Studi di Modena e Reggio EmilaCarnegie Mellon UniversityTechnische Universität DarmstadtSenseTime GroupMichigan State UniversityMicrosoft Research AsiaCity University of Hong KongHarvard UniversityAlbert-Ludwigs-Universität FreiburgMinistry of Education of the People's Republic of ChinaState Key Laboratory for Management and Control of Complex SystemsBirmingham City UniversityShenzhen Research Institute of Big DataUniversitat Autònoma de BarcelonaMicrosoft ResearchStony Brook UniversityWaseda UniversityAlibaba DAMO AcademyPrinceton UniversityMemorial Sloan-Kettering Cancer CenterNvidiaÉcole Polytechnique Fédérale de LausanneNational University of SingaporeQualcommČeské Vysoké Učení Technické v PrazeNational Institute of InformaticsUniversity of SydneyCollege of Engineering, Michigan State UniversityHuaqiao UniversityPurdue University
KeywordsComputer scienceTable (database)Information retrievalDatabase
Abstract
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 imitationNot 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 score0.113
Threshold uncertainty score0.161
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.887 | 0.846 |
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 head0.047
GPT teacher head0.265
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Published2020
Admission routes1
Has abstractno