Influence of thermal ageing on the electrical conduction of polymethyl methacrylate and styrene acrylonitrile
Bibliographic record
Abstract
Nous etudions l'influence du vieillissement thermique sur la conductivite electrique du polymethacrylate de methyle (PMMA) et du styrene-acrylonitrile (SAN) exposes a une tension continue (dc) et un vieillissement thermique de durees differentes. Des echantillons de PMMA et de SAN ont ete soumis aux essais de vieillissement thermique et puis ont ete exposes a une decharge electrique produite par deux electrodes paralleles planes. Des mesures de courant de charge, de resistivite ainsi que des spectres infrarouges par transformee de Fourier (FTIR) ont ete realises. Les resultats obtenus montrent que la conductivite electrique augmente avec le temps de vieillissement thermique et qu'apres 24 heures de repos les echantillons recuperent partiellement leurs caracteres isolants. Les changements de structure des materiaux qui sont illustres par les spectres FTIR expliquent l'augmentation de la conductivite electrique. Les degradations paraissent irreversibles pour le SAN, contrairement au PMMA.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".