Calibration and applications of the ΔMP2 method for calculating core electron binding energies
Bibliographic record
Abstract
We calibrated a method for the evaluation of core electron binding energies, based on the energy differences between the cation and neutral molecule evaluated at the level of Møller-Plesset perturbation theory. The central feature of the method is the use of a mixed basis set: a large all-electron basis set is used for the atom whose core electron is removed, while the model core potential basis set is employed for all remaining atoms. Calibration was carried out for 55 molecules and 114 binding energies of 1s core electrons for the atoms C, N, O, and F. The average absolute deviation for all the core electron binding energies is 0.163 eV. The method was applied to the calculation of the core electron binding energies of five nucleic acid bases (uracil, adenine, cytosine, guanine, and thymine) and several of their low-energy tautomers.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".