Bibliographic record
Abstract
A study is evaluating the effect of agomelatine on postnatal depression at a mother and baby unit. Which one of the following should be considered when assessing the internal validity of this study? A new clinician–administered test for assessing suicidal risk is studied in a prison population in Canada, where a high suicide rate of 1 in 25 has been recorded. Which of the following indicate that this test is NOT suitable for your clinical population? A new rating scale being evaluated for anxiety has a sensitivity of 80% and specificity of 90% against the standard ICD–10 diagnosis. The likelihood ratio of a positive result is A pharmaceutical company developed a new antidepressant ‘X’. They conducted a randomized double–blind placebo controlled trial of the drug. The study had two arms: an active medication arm and a placebo arm. Each arm had 100 subjects. Over a 4–week period, a 50% drop in Hamilton depression scale (HAMD) scores were seen in 40 subjects in the active medication arm, while a similar drop was seen only in 20 subjects in the placebo arm. What is the number needed to treat (NNT) from this trial for the new antidepressant?
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 | 0.006 | 0.068 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.653 | 0.359 |
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".