Bibliographic record
Abstract
Animal models of psychiatric conditions such as anxiety and depression attempt to represent some aspect of the etiology, symptomatology, or treatment of these disorders, in order to facilitate their scientific study (Treit, 1994; Mineka, 1985; Marks, 1987; Willner, 1994). Within this broad context, animal models of anxiolytic or antidepressant drug action can be viewed as treatment models concerned with the pharmacological control of human anxiety and depression. Animal models of anxiety, for example, have been particularly useful in the preclmical testing of benzodiazepme-type anxiolytics, in studying the functional relevance of the GABAA-benzodiazepine receptor system, and in characterizing the effects of benzodiazepine antagonists (e.g., Ro 15–1788 [flumazeml]), partial agonists (e.g., CGS 98961, and inverse agonists (e.g., B-CCM). For reviews see Thlebot (1983); La1 and Emmett-Oglesby (1983); File (1984;1985;1987); Crawley (1985); Treit (1985a;1994); Shephard (1986); Gardner (1988); Thiebot et al. (1988); and Lister (1990).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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".