Dose-response of arginine-vasopressin (AVP) on blood pressure (MAP), renal macro and micro cortical and medullary flowsin anesthetized rabbits
Bibliographic record
Abstract
Two linear curves for MAP, SVRen variations were observed (Fig. 1) with two different slopes (slope1 [doses from 1 to 25 ng AVP] = 0.17 & –0.12 and slope 2 [doses from 50 to 1000 ng AVP] = 0.01 & –0.02 respectively). EC50 (AVP dose inducing half of the response) was calculated from both curves: EC1 MAP = 9 ng; EC2 MAP = 662 ng; EC1 SVRen . = 13 ng; EC2 SVRen = 349 ng. The shift from curve 1 to curve 2 occurred at 40 ng for MAP and 68 ng for SVRen of AVP. For DVRen, Fl cort , Fl med no linear relation was observed at low AVP doses. For higher AVP doses, similar negative slopes have been calculated: DVRen –0.01; Fl cort –0.01; Fl med –0.003. MAP and SVRen react strongly to low AVP doses whereas DVRen Fl cort Fl med did not. At higher dose, Fl med is better preserved than DVRen and Fl cor .
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".