Bibliographic record
Abstract
Various drugs including antihypertensives, anxiolytics, antibiotics, antidepressants, corticosteroids, choline, indomethacin, levodopa, metronidazole, neuroleptics, oral contraceptives, sulphonamides and physostigmine have been reported to produce depression as a side effect. Clinically, these drug-induced depressions may go unnoticed and thus create therapeutic problems. Although causal relationship is difficult to establish, depression occurring during the course of drug treatment needs an evaluation of all the medications that the patient has been receiving. We believe that postpsychotic depressions include three types of depression: pendular depression--primarily disease related; chronic depression--primarily environment related, and amine-depletion depression--drug related. Thus, drug-induced depressions constitute a subgroup of postpsychotic depression. Clinically, it is essential to carefully monitor patients receiving drugs known to produce depression. Thus, prompt recognition of the drug-induced depressions may assist in initiating proper therapeutic measures.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".