Specific predictions for SN 2014J in the context of the Quark Nova Ia\n model
Bibliographic record
Abstract
The exact mechanism behind Type Ia supernovae (SNe-Ia) and the nature of the\nprogenitors is poorly understood, although several theories vie for supremacy.\nTheir secured importance to the study of cosmology necessitates a resolution to\nthis problem. Observations of nearby SNe-Ia are therefore critical to determine\nwhich theory, if any, is the correct one. SN 2014J discovered at a relatively\nclose 3.5 Mpc in the galaxy M82 provides such an opportunity. In this paper we\ngive specific predictions for SN 2014J in the context of the Quark Nova Ia\n(QN-Ia) model. Predictions include X-ray luminosities just prior and hundreds\nof days after the explosion, light curve "glitches", neutrino emission, heavy\nelement creation, and gravitational signatures.\n
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".