Screening for pain phenotypes: Analysis of three congenic mouse strains on a battery of nine nociceptive assays
Bibliographic record
Abstract
In an attempt to identify new genes responsible for variability in pain sensitivity, we tested three congenic mouse strains--in which a small portion of the genome of the MOLF/Ei strain has been placed on a C57BL/6 genetic background--on a battery of nine nociceptive assays, chosen to reflect those assays in most common use in the pain literature. Mice of both sexes were evaluated by two different testers at different points in time, allowing us to examine the relative importance of genotype, sex, tester and cohort effects on data from these assays. We find strong evidence for the existence of two quantitative trait loci (i.e., genomic regions containing variability-causing genes), one for thermal nociception on mouse chromosome (Chr) 17 (Chr 17; Tpnr3) and one for formalin test nociception on mouse Chr 12 (Nociq3). We note, however, that the nociceptive assays in this battery feature strong main effects and interactions of sex, tester, and cohort, which if not controlled or covaried can seriously confound interpretation of genetic experiments, including the comparison of transgenic knockout mice to their wild-type controls.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".