INFLUENCE DE LA PRECIPITATION SECONDAIRE SUR LES PROPRIETES D’USURE D’UNE FONTE AU CHROME ALLIEE
Bibliographic record
Abstract
Resume –Influence de la precipitation secondaire sur les proprietes d’usure d’une fonte au chrome alliee. La resistance a l’usure des fontes au chrome est fonction du type d’elements d’addition. Notre approche consiste a etudier l’effet combine des elements d’alliage (Ti, Mo, Mn et Nb) sur le comportement a l’usure des fontes au chrome. Plusieurs techniques sont employees (microscopie optique et MEB, DSC et DRX). Des essais d’usure par frottement et par abrasion ont complete cette etude. Les resultats obtenus montrent que l’addition des elements d’alliages a eu un effet affinant sur la matrice. Un changement microstructural est enregistre au niveau de la matrice sous forme de precipitations proeutectiques et secondaires. Les elements carburigenes introduits dans la fonte ont favorise une nette augmentation de la resistance a l’usure par frottement apres traitement thermique, comparativement a leur effet sur la resistance a l’abrasion.
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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) | 0.003 | 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".