Structure, phase composition, and defect substructure of differentially quenched rail
Why this work is in the frame
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Bibliographic record
Abstract
Differential quenching of rail by compressed air is a promising hardening method. Transmission electron microscopy is used for layer-by-layer analysis of differentially quenched rail. Quantitative parameters of the structure, phase composition, and dislocational substructure are determined and compared for different quenching conditions. Differential quenching of rail by compressed air in different conditions is accompanied by diffusional γ → α transformation. Three morphologically distinct components are formed: grains of plate pearlite, structure-free ferrite, and ferrite-carbide mixture. Gradient behavior is noted in the resulting structure: the state of the surface layer in the rail steel depends not only on the quenching conditions but also on the direction of observation and the depth of the layer being analyzed. Dislocational substructure is obtained; not only dislocational chaos, but also reticular, cellular, and fragmented dislocational substructure.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it