Class I and class II ganglion cells of rabbit retina: Quantitative analysis of dendritic branching patterns
Bibliographic record
Abstract
Class I and class II ganglion cells, distinguished from one another in a companion paper, were analyzed in regard to their dendritic branching patterns by determination of: 1) mean "branching density" (BD), 2) "radial branching frequency" (RBF), and 3) "branch length distributions" (BLDs; Famiglietti [ 1992a] J Comp Neurol 324:295-321). Branching density of class II cells exceeded that of class I cells by a factor of two, when compared at the same retinal location, but declined with increasing distance from the visual streak (dvs). A one-bin difference in RBF between class I and class II cells was not statistically significant. BLDs are scatter-plots of individual preterminal and terminal branch lengths versus the distances of their origins from the soma. The parameters mp and mt, the slopes of regression lines fitted to the preterminal and terminal BLDs, respectively, were determined; mp, but not mt, was relatively independent of dvs, and was used empirically to determine a boundary value, mp = +5.0, separating "radiate" from "tufted" dendritic branching. Similarity of class I (mp = +8.6 +/- 4.6) and class II (mp = +1.4 +/- 5.2) cells did not allow a statistically significant separation of the two classes, based upon branching pattern alone; however, mp together with mt easily separated class I cells (mt = -17.8 +/- 10.0) and particularly "tufted" class II cells (mt = -16 +/- 9.3) from "tufted" class III.1 ganglion cells (Famiglietti, 1992a), with their qualitatively different, more regular branching (mp = +2.1 +/- 0.85; mt = +0.65 +/- 4.9).
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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 | 0.001 | 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".