Author Correction: Antidepressants during and after Menopausal Transition: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Author notes These authors contributed equally: Ching-Kuan Wu, Ping-Tao Tseng and Ming-Kung Wu. Authors and Affiliations Department of Psychiatry, Tsyr-Huey Mental Hospital, Kaohsiung Jen-Ai’s Home, Kaohsiung, Taiwan Ching-Kuan Wu & Yu-Shian Cheng WinShine Clinics in Specialty of Psychiatry, Kaohsiung City, Taiwan Ping-Tao Tseng Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan Ming-Kung Wu & Pao-Yen Lin Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan Dian-Jeng Li Department of Addiction Science, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung City, Taiwan Dian-Jeng Li Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan Tien-Yu Chen Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan Tien-Yu Chen Department of Obstetrics & Gynecology, E-Da Hospital, Kaohsiung, Taiwan Fu-Chen Kuo School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan Fu-Chen Kuo & Cheuk-Kwan Sun Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK Brendon Stubbs Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, De Crespigny Park, London, UK Brendon Stubbs Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, UK Brendon Stubbs Department of Psychiatry, University of Toronto, Toronto, ON, Canada Andre F. Carvalho Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada Andre F. Carvalho Prospect Clinic for Otorhinolaryngology & Neurology, Kaohsiung, Taiwan Ping-Tao Tseng & Yen-Wen Chen Institute for Translational Research in Biomedical Sciences, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan Pao-Yen Lin Department of Emergency Medicine, E-Da Hospital, Kaohsiung, Taiwan Cheuk-Kwan Sun Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan Ping-Tao Tseng Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan Ming-Kung Wu Institute of Medical Science and Technology, National Sun Yatsen University, Kaohsiung, Taiwan Yu-Shian Cheng Authors Ching-Kuan Wu View author publications You can also search for this author in PubMed Google Scholar Ping-Tao Tseng View author publications You can also search for this author in PubMed Google Scholar Ming-Kung Wu View author publications You can also search for this author in PubMed Google Scholar Dian-Jeng Li View author publications You can also search for this author in PubMed Google Scholar Tien-Yu Chen View author publications You can also search for this author in PubMed Google Scholar Fu-Chen Kuo View author publications You can also search for this author in PubMed Google Scholar Brendon Stubbs View author publications You can also search for this author in PubMed Google Scholar Andre F. Carvalho View author publications You can also search for this author in PubMed Google Scholar Yen-Wen Chen View author publications You can also search for this author in PubMed Google Scholar Pao-Yen Lin View author publications You can also search for this author in PubMed Google Scholar Yu-Shian Cheng View author publications You can also search for this author in PubMed Google Scholar Cheuk-Kwan Sun View author publications You can also search for this author in PubMed Google Scholar Corresponding authors Correspondence to Yu-Shian Cheng or Cheuk-Kwan Sun .
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 | 0.021 | 0.237 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.008 | 0.012 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.272 | 0.041 |
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".