Techniques for Assessing the Effects of Drugs on Nociceptive Responses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Animal pain tests have been developed primarily for the screening of potential analgesic drugs. In this context, the most important characteristic of a test is that it correctly identify compounds that are analgesic in pathological pain in humans and correctly eliminate compounds without this activity (Taber, 1974 206; Frazer and Harris, 1967 92; Jacob, 1966 128). By this standard, the tail-flick test of D'Amour and Smith (1941) 56 is very accurate in detecting morphine-like drugs, though it is less successful with nalorphine-like drugs and very insensitive to aspirin-like drugs. Other tests have different profiles of sensitivity, and although there seems to be no ideal single laboratory test procedure for the evaluation of analgesics, a combination of several tests has considerable power to identify analgesics (Wood, 1984 237).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it