Neurochemical profile of dorsal root ganglion neurons innervating the canine ventricle
Bibliographic record
Abstract
Dorsal root ganglion (DRG) sensory neurons innervating the canine ventricle were identified by retrograde tracing with horseradish peroxidase (HRP and cholera toxin β subunit‐conjugated HRP) injected into the anterior left ventricle and right ventricular outflow tract. DRG’s (T1‐T4) were harvested 7 days post injection, sectioned and immunostained for HRP and combinations of calcitonin gene‐related peptide (CGRP), substance P (SP), or neuronal nitric oxide synthase (nNOS). At the T3 level, 19+6% (mean ±SD) of the DRG neuronal population was immunolabeled for CGRP, 11%±3 for SP, and 6±3% were double labeled for CGRP and SP. Of this population, 2% were immunolabeled for HRP. Of these HRP‐labeled DRG neurons, 23±17% exhibited positive staining for CGRP, 3±4% for SP (p<0.02 versus % SP positive in total population), and 13±9% were tripled labeled (HRP, SP and CGRP). Thirty‐one percent of HRP‐labeled DRG neurons exhibited nNOS immunoreactivity. These data support the emerging concept of afferent heterogeneity in sensory processing of the ventricular milieu. They also suggest that the neurochemical profile for DRG sensory afferents is differentially expressed, depending upon the target organ. (HL71830).
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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) | 0.001 | 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".