Bibliographic record
Abstract
The previous chapters have revealed the standard model as a remarkable theory which successfully describes the vast majority of all of modern particle physics. Better yet, its implications are very robust since it is the most general theory which is consistent with general principles (like Lorentz invariance and unitarity) plus the two assumptions: (i) renormalizability and (ii) the given particle content – all of which are seen in experiments (modulo confinement for the case of quarks and gluons) save the as-yet-undiscovered Higgs scalar. In this chapter we encounter the first (and, as of this writing, only) known case where there is good evidence that the standard model does not provide a good description: the phenomenon of neutrino oscillations. After describing the conceptual issues and the evidence for the standard model's failure, we briefly describe what can be said at present about which of the two core assumptions must be relinquished. The standard-model prediction which has gone sour – encountered in Subsection 2.5.2 – asserts the separate conservations (up to negligible corrections involving the electroweak anomaly) of the three lepton numbers, L e , L µ , and L τ . Even considering the electroweak anomaly, the quantities L e − L µ and L µ − L τ are anomaly free and so should be exactly conserved. As a consequence the theory predicts exactly massless and stable neutrinos, ν e , ν µ , ν τ , with ν ℓ only participating in charged-current weak interactions together with its corresponding charged lepton, ℓ − .
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.042 | 0.013 |
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".