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Record W4294707393 · doi:10.1111/bdi.13251

<scp>NICE</scp> guideline for depression ranks short‐term psychodynamic psychotherapy (<scp>STTP</scp>)

2022· editorial· en· W4294707393 on OpenAlexaboutno aff
Gin S. Malhi, Erica Bell, Philip Boyce, Roger Mulder, Darryl Bassett, Amber Hamilton, Grace Morris, Richard A. Bryant, Philip Hazell, Malcolm Hopwood, Bill Lyndon, Richard Porter, Ajeet Singh, Greg Murray

Bibliographic record

VenueBipolar Disorders · 2022
Typeeditorial
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsnot available
Fundersnot available
KeywordsFamily medicineMedicineGuidelineAlternative medicineAdvisory committeePsychiatryPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

G.S.M. has received grant or research support from 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. (Greg Murray) 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 Incite Health Pty Ltd (diagnostics company), has received speaking honoraria from Servier, Lundbeck and Otsuka Australia. The authors E.B., R.B., A.H., P.H. G.M. (Grace Morris) and B.L. declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article. Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.315
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations8
Published2022
Admission routes1
Has abstractyes

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