Seasonal changes of connective tissue fluorescence in well-aged beef roasts, correcting for fat reflectance and signal source
Bibliographic record
Abstract
Thirty well-aged (30.3 ± 4.5 d) rib roasts were evaluated serially from January to August. A dual-channel fibre-optic probe measured fluorescence (F; excitation at 365 nm and emission from 410 to 550 nm) and reflectance (R; 550 nm) on the way-in (WI) and way-out (WO). Anatomical measurements were used to differentiate between signals exterior to the longissimus thoracis (EXLT) and intramuscular signals (INLT). Each roast was probed in eight locations, giving 32 sets of signals (position, WI or WO, EXLT or INLT). F peaks c-1 decreased serially with time, mean r = -0.47, P < 0.01. A ratio (F:R) was used to correct F signals for pseudofluorescence (upper edge of F excitation band-pass reflected from fat). This strengthened (P < 0.001) the mean correlation of F:R peaks cm-1 with time to r = -0.59, P < 0.001. F:R peaks cm-1 in EXLT and INLT were correlated, r = 0.24 for WI and r = 0.57 for WO, showing development of extramuscular and intramuscular connective tissues was linked ( P < 0.0005, n = 480). Key words: Beef, connective tissue, fluorescence, seasonal effect
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".