High-Resolution Radioautographic Localization of Beta-Adrenergic Receptors in the Pars intermedia of the Rabbit Pituitary
Bibliographic record
Abstract
In order to study the cellular and subcellular distribution of beta-adrenergic receptors in the pars intermedia of the rabbit pituitary, we have developed a technique for the high-resolution radioautographic localization of beta-adrenergic receptors, using [125]-cyanopindolol as the ligand. The most suitable fixative was the McLean fixative to which 0.1% glutaraldehyde was added. In semithin sections, specific labeling was localized over all the secretory cells. At the ultrastructural structural level, plasma membrane, nuclear envelope, and mitochondria appeared to be significantly labeled. These observations are consistent with previous results indicating the presence of beta-adrenergic receptors at the level of the plasma membrane. On the other hand, the exact role of intracellular receptors remains to be clarified. Moreover, this technique which allows the localization of beta-adrenergic receptors at the ultrastructural level should be very useful to study the distribution of these receptors in other tissues, especially the central nervous system.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".