Magnetocaloric effect in La(Fe<sub>0.88</sub>Al<sub>0.12</sub>)<sub>13</sub>C<sub><i>x</i></sub>interstitial compounds
Bibliographic record
Abstract
The magnetocaloric effect and the order of magnetic transition in La(Fe0.88Al0.12)13Cx interstitial compounds have been investigated by means of magnetic measurements and Mössbauer spectroscopy. With increasing carbon content from x = 0.2 to 0.6, the maximum magnetic entropy change decreases from 9.6 to 8.3 J kg−1 K−1 under an external field of 5 T, which is comparable with that of pure Gd metal. Analyses of magnetic measurements and Mössbauer results indicate there is a weakly first order magnetic transition between ferromagnetic and paramagnetic (F–P) states at TC for x = 0.2. Increasing the carbon content drives the F–P transition towards second order, which is the main reason why the magnetic entropy change decreases with increasing carbon content.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".