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Record W4229603319 · doi:10.1109/vtcfall.2019.8891398

VTC2019-Fall Technical Program Committee

2019· article· en· W4229603319 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Numerical Methods
Canadian institutionsnot available
FundersUniversity of NicosiaAmerican University in CairoChiba UniversityNanjing UniversityIndian Institute of Technology DelhiWaterford Institute of TechnologyUniversitatea din BucureștiNational Institute of Standards and TechnologyNational Taipei University of TechnologySouth University of Science and Technology of ChinaNational Taiwan UniversityUniversidad Carlos III de MadridHong Kong University of Science and TechnologyHokkaido UniversityNational Chiao Tung UniversityNational Central UniversityNanjing University of Science and TechnologyNational and Kapodistrian University of AthensZhejiang UniversityIndian Statistical InstituteUniversitetet i OsloCOMSATS Institute of Information TechnologyTianjin UniversityWaseda UniversityNational Taiwan University of Science and TechnologyIndian Institute of Technology, PatnaKungliga Tekniska HögskolanGazi ÜniversitesiUniversität PaderbornSouthwest Jiaotong UniversityUniversity of South CarolinaQueen's UniversityBeijing Institute of TechnologyEast China Normal UniversityLunds UniversitetIstanbul Teknik ÜniversitesiConcordia UniversityShanghai Educational Development FoundationKorea UniversityInha UniversityXidian UniversityKyung Hee UniversitySoongsil UniversityNazarbayev UniversityNorthern Arizona UniversityPolitecnico di TorinoSeoul National UniversityUniversità degli Studi di PerugiaUniversity of New South WalesHarbin Institute of TechnologyLa Trobe UniversityMississippi State UniversityQueen's University BelfastUniversiti Tunku Abdul RahmanDurham UniversityInstituto Nacional de TelecomunicaçõesLoughborough UniversityHunan UniversityManchester Metropolitan UniversityUniversity of the West of ScotlandUniversité de LorraineUniversity of CyprusUniversitetet i AgderUniversitat Autònoma de BarcelonaNara Institute of Science and TechnologyInstitut national de recherche en informatique et en automatique (INRIA)King Abdullah University of Science and TechnologyIndian Institute of ScienceCairo UniversityMiddlesex UniversityTechnische Universiteit DelftQueen Mary University of LondonNational Cheng Kung UniversityUniversity of WaterlooKeio UniversityUniversity of OttawaZhejiang University of TechnologyNorth Carolina State UniversityGeorgia Institute of Technology
KeywordsComputer science

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.012
GPT teacher head0.277
Teacher spread0.265 · 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

Quick stats

Citations0
Published2019
Admission routes1
Has abstractno

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