Signal Analysis of Optical Interference in Relation to Colorimetry for Measurements Made Along Individual Myofibers in Cooked Beef
Bibliographic record
Abstract
Subsurface reflective interference from A-bands in roast beef persisted under water and some myofibers had interference peaks exceeding the reflectance of white barium sulfate. The number of interference peaks was correlated with CIE (Commission Internationale de l’Éclairage) Y% (r = 0.51, P < 0.001). As the number of peaks increased, the distance from the central white of the CIE chart decreased (r = - 0.52, P < 0.001). Myofibers with low scattering had fewer interference peaks (2.9 ± 0.3, n =10) than myofibers with high scattering (4.9 ± 1.3, n = 31, P < 0.001). Thus, the number of reflecting and interfering layers may be important in relating light scattering along myofibers to surface iridescence. One or a few reflective layers may produce strong interference colors while many layers may produce colorless scattering.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".