MétaCan
Menu
Back to cohort

Traumatic Injuries and Early Pharmacological Intervention for Psychological Challenges: Is this the Best Option?

2022· article· en· W4225125263 on OpenAlexaff
Tulika Mehta Agarwal, Vishwajit Verma, Arya R Panchabhai

Bibliographic record

VenuePanamerican Journal of Trauma Critical Care & Emergency Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntervention (counseling)PsychologyMedicinePsychotherapistClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Patients with traumatic injuries experience various psychological symptoms similar to depression, which do not meet the criteria for such diagnosis. Antidepressant medications should not be prescribed except after the correct diagnosis of depression, made by a qualified mental health professional. Psychological interventions should be used as first line of care for most injured patients. Psychological interventions, unlike antidepressants, have proven long-term efficacy and have been adequately established. At the same time, antidepressants may have known or lesser-known side effects with long-term implications on one's mental health and should only be used as the second line of intervention for patients with traumatic injuries.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.095
GPT teacher head0.403
Teacher spread0.308 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePanamerican Journal of Trauma Critical Care & Emergency SurgerySame topicPediatric Pain Management TechniquesFrench-language works237,207