Characterization and Autoradiographic Distribution of the β-Adrenergic Receptor in the Rat Lung
Bibliographic record
Abstract
An unexpected distribution of the beta-adrenergic receptor in the rat lung was revealed by an autoradiographic technique. [3H]-Dihydroalprenolol binding was stereoselective. L-propranolol was 300 times more potent than D-propranolol in competition experiments. Scatchard analysis revealed a Kd of 1.1 nM and Bmax of 14 fmol/mg wet weight. Relative potencies of beta-adrenergic ligands were: propranolol greater than alprenolol greater than timolol greater than pindolol greater than isoproterenol greater than epinephrine greater than soterenol greater than metoprolol greater than terbutaline greater than norepinephrine. The autoradiograms generated revealed a diffuse pattern with binding always associated with tissue structures. We conclude that beta-adrenergic receptors are extensively distributed in the lung, being present in large and small airways and blood vessels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".