The ELF Topological Analysis Contribution to Conceptual Chemistry and Phenomenological Models
Bibliographic record
Abstract
This chapter contains sections titled: Introduction Why ELF and What is ELF? Concepts from the ELF Topology The Synaptic Order The Localization Domains ELF Population Analysis VSEPR Electron Domains and the Volume of ELF Basins Examples of the Correspondence Between ELF Basins and the Domains of the VSEPR Model Octet Molecules Hydrides (CH4, NH3, H2O) AX4 (CH4, CF4, SiCl4) AX3E and AX2E2 (NCl3, OCl2) Hypervalent Molecules PCl5 and SF6 SF4 and ClF3 AX7 and AX6E Molecules Multiple Bonds C2H4 and C2H2 Si2Me4 and Si2Me2 Conclusions References
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.004 | 0.013 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".