MétaCan
Menu
Back to cohort
Record W4400920068 · doi:10.1080/02699052.2024.2381046

Comparison of concordance and predictive validity of head injuries from parental reports and medical records

2024· article· en· W4400920068 on OpenAlexafffundabout
Olivia E. Gunther, Mathilde Garneau, Marie‐Claude Geoffroy, Alexa Martin‐Storey, Éric Latimer, Michèle Déry, Caroline E. Temcheff

Bibliographic record

VenueBrain Injury · 2024
Typearticle
Languageen
FieldMedicine
TopicChild Abuse and Related Trauma
Canadian institutionsUniversité de SherbrookeDouglas Mental Health University InstituteMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsConcordanceMedical recordHead injuryPredictive validityHead (geology)PsychologyMedicineClinical psychologyPsychiatrySurgeryInternal medicineBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine agreement between parental reports of head injury and evidence of head injury in medical records and to compare these two measures in predicting early conduct disorder (CD). DESIGN AND SETTING: Parent survey data was compared with records of child head injury from the National Health Services Register (Régie de l'assurance maladie du Québec, RAMQ) administrative database. PARTICIPANTS: = 685) ages 6-9 with and without CD. There were 147 children with RAMQ recorded head injury and 39 children with parent-reported head injury. MAIN MEASURES: Indication of one or more head injury before 6 years of age as reported by parents and/or as noted in medical data. Early CD (present by age 9) according to parents and/or teachers. RESULTS: < 0.001. Medical data significantly predicted the presence of CD in children, with a RAMQ coded head injury suggesting a child was 1.88 times more likely to have CD. Parent reports of head injuries did not significantly predict CD. Conclusion: Medical data should be prioritized in research addressing pediatric head injury, given that parent reports may fail to capture incidence of injury and therefore may be less predictive of other known correlates of head injury.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.348
Teacher spread0.322 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueBrain InjurySame topicChild Abuse and Related TraumaFrench-language works237,207