Bibliographic record
Abstract
Schizophrenia affects about 1% of the total population. It is a complex psychological disorder that may be caused by the interaction between genetic and environmental factors. Studies have identified some candidate genes that may contribute to the cause of the disorder. However, most genetics finding in schizophrenia have not been implicated in clinical use. Antipsychotics are drugs commonly used to treat psychosis, such as schizophrenia. First-generation antipsychotics, or typical antipsychotics (e.g. haloperidol), were the first type of medicine for psychosis that was developed. They mainly target dopamine D2 receptors in the basal ganglia and possibly the mesolimbic pathway as antagonists. Second-generation antipsychotics, or atypical antipsychotics, including clozapine, were developed after typical antipsychotics. They have multiple targets and cause less extrapyramidal side effects. Since atypical antipsychotics target multiple receptors, the complexity of these drugs is extremely high, and we now do not have a solid understanding of their mechanism of action.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.006 | 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".