<title>Fluorescence spectroscopic analysis (FSA) detects quantitative changes in atherosclerotic plaque collagen and elastin content <emph type="1">In Vivo</emph></title>
Bibliographic record
Abstract
In order to assess the capacity for in vivo fluorescence spectroscopi8c analysis of arterial collagen and elastin, fluorescence emission intensity was recorded form rabbit aorta after angioplasty and stent implant, and correlated with extracted elastin and collagen content. FEI from saline treated rabbits after stent implant was higher between 485 and 500 nm than after anti-inflammatory treatment. FEI was significantly decreased after implantation of shorter stents at 476-500 nm. Multiple regression analysis demonstrated an excellent correlation between FEI and elastin and HPLC- measured collagen content at 486-500 nm and 476-480 nm respectively. Conclusions: FEI recorded in vivo form arterial intimal surface, can be successfully used for quantitative assessment of compositional changes in connective tissue. Stent implant can induce changes in intimal arterial structure at discrete sites distant from the stent implant site.
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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 | 0.000 |
| 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) | 0.019 | 0.004 |
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".