Evidence is king: A defence of evidence‐based recommendations
Bibliographic record
Abstract
G. S. M. has received grant or research support from the National Health and Medical Research Council, Australian Rotary Health, NSW Health, American Foundation for Suicide Prevention, Ramsay Research and Teaching Fund, Elsevier, AstraZeneca, Janssen-Cilag, Lundbeck, Otsuka and Servier and has been a consultant for AstraZeneca, Janssen-Cilag, Lundbeck, Otsuka and Servier. P. B. has received research support from the National Health and Medical Research Council, speaker fees from Servier, Janssen and the Australian Medical Forum, educational support from Servier and Lundbeck, has been a consultant for Servier, served on an advisory board for Lundbeck, has served as DSMC Chair for Douglas Pharmaceuticals and has served on the Medicare Schedule Review Taskforce (Psychiatry Clinical Committee). R. B. has received grant support in the last 5 years from the National Health and Medical Research Council, the Australian Research Council, TAL Insurance and support for travel for advisory meetings to the World Health Organization. M. H. has received grant or research support in the last 5 years from the National Health and Medical Research Council, Medical Research Future Fund, Ramsay Health Research Foundation, Boehringer-Ingleheim, Douglas, Janssen-Cilag, Lundbeck, Lyndra, Otsuka, Praxis and Servier and has been a consultant for Janssen-Cilag, Lundbeck, Otsuka and Servier and has served on the Medicare Schedule Review Taskforce (Psychiatry Clinical Committee). R. M. has received support for travel to education meetings from Servier and Lundbeck, speaker fees from Servier and Committee fees from Janssen. R. P. has received support for travel to educational meetings from Servier and Lundbeck and uses software for research at no cost from Scientific Brain Training Pro. G. M. has received grant support in the last 5 years from the National Health and Medical Research Council, the Mental Illness Research Fund, Victorian Medical Research Acceleration Fund, Canadian Institutes of Health Research, Readiness, SiSU Wellness and Barbara Dicker Foundation. D. B. has received funding to host webinars by Lundbeck. A. B. S. has shares/options in Baycrest Biotechnology Pty Ltd (pharmacogenetics company) and Greenfield Medicinal Cannabis and has received speaking honoraria from Servier, Lundbeck and Otsuka Australia. The authors E. B., R. B., P. H. and B. L. declared no potential conflict of interest with respect to the research, authorship and/or publication of this article. Not applicable.
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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 | 0.414 | 0.710 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.015 | 0.016 |
| Bibliometrics | 0.020 | 0.016 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.027 | 0.029 |
| Open science | 0.020 | 0.015 |
| Research integrity | 0.057 | 0.058 |
| Insufficient payload (model declined to judge) | 0.014 | 0.010 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".