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Record W2065515121 · doi:10.1542/pir.34-7-296

Psychosis in Children and Youth: Focus on Early-Onset Schizophrenia

2013· review· en· W2065515121 on OpenAlexaff
Sabina Abidi

Bibliographic record

VenuePediatrics in Review · 2013
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychosisPsychiatryPsychologyAntipsychoticMedicineClinical psychology

Abstract

fetched live from OpenAlex

On the basis of strong research evidence (1)(3) very early onset (VEOS) and early onset schizophrenia (EOS) carry significant morbidity and mortality risks for children and adolescents. On the basis of strong research evidence, the pathogenesis of EOS is linked to a dysregulation of dopamine and morphologic brain changes. (6)(7) On the basis of some research evidence and consensus, development of schizophrenia is the result of the interplay between genetic and environmental risk factors. (4) On the basis of strong research evidence, antipsychotic medications are the cornerstones of treatment for EOS. (11)(12)(13) On the basis of some research evidence and consensus, (13) treatment for schizophrenia should be timely, multimodal and multidisciplinary, including both pharmacologic and nonpharmacologic modalities tooptimize recovery.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.361
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2013
Admission routes1
Has abstractyes

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