Bibliographic record
Abstract
Inconsistencies in the metal-hydrogen (M-H) systems literature relating to the use of the partial configurational entropy for hydrogen absorbed in a metal are examined, and the usefulness for M-H systems of the partial excess entropy is questioned. Treatment of the behavior of M-H systems in terms of chemical solution thermodynamics is considered and it is concluded that this approach does not provide an appropriate representation of the special properties of an M-H system; many of these properties are usefully represented by a lattice gas model. An example is given of combining the configurational entropy of a lattice gas, with a summation of the principal changes to the entropies of the lattice-related and electronic subsystems of the metal lattice, resulting from the absorption of hydrogen. Rough estimates of quantitative values for such contributions are made based on experimental data. This summation of contributions is a practical and conceptually useful method for determining the entropy change produced by the formation of an M-H system.
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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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".