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Record W4231484210 · doi:10.1109/ias.2004.1348793

Current rating of multicore cables

2004· article· en· W4231484210 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting. · 2004
Typearticle
Languageen
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsKinectrics (Canada)
Fundersnot available
KeywordsBundleElectrical conductorMulti-core processorConvectionCore (optical fiber)Current (fluid)Thermal conductionCurrent densityAmpacityMechanicsRadiationComputer scienceElectrical engineeringElectronic engineeringMaterials sciencePhysicsTelecommunicationsEngineeringOpticsComposite materialParallel computing

Abstract

fetched live from OpenAlex

An algorithm to calculate the current carrying capability of multicore cables is presented. The method takes into account the presence of the air gaps and metallic conductors in the cable bundle. Under an assumption of a uniform loss density, analytical expressions, which take into account conduction inside the bundle and convection and radiation outside it, are developed. The method is illustrated with a numerical example of a telecommunication cable with 96 stranded cores. Experimental results are also reported for the same cable.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.257
Teacher spread0.236 · 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