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Record W2379905422

EFFECTS OF GRAPHITIZATION DEGREE ON THE ELECTRICAL CONDUCTIVITY OF C/C COMPOSITES

2001· article· en· W2379905422 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

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsElectrical resistivity and conductivityMaterials scienceDegree (music)MicrostructureComposite materialConductivityElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

S: Five kinds of C/C composites were selected as object materials to investigate the electrical resistivity dependence on graphitization degree. The effecting factors were analyzed and summarized. Experimental results showed a tendency that the electrical resistivity of all C/C composites decreased linearly with the increase of graphitization degree, and their relation can be written into the following equation of ρ=ag+b. Such relation is valid at least in the whole range of graphitization degree investigated. It should be ponited out that the parameters of a and b have different values for various materials and they are controlled by microstructure and apparent density. For composites with similar microstructures, parameter a is equal. The composites with higher apparent density always have lower values for parameters a and b. It implies that their electrical conductivity can be improved. The electrical conductivity of the composites is less sensitive to the graphitization degree, as compared with the apparent density. Because of the relatively high accuracy and easier operation for detecting, electrical resistivity can be used as an indirect index to reflect the graphitization degree of C/C composites.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.195

Codex and Gemma teacher scores by category

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

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 head0.236
Teacher spread0.214 · 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