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Record W2131639933 · doi:10.1023/a:1016859005849

Neuromotor dysfunction in early psychosis.

2002· review· en· W2131639933 on OpenAlexaff
D. Whitehorn, Lili C. Kopala

Bibliographic record

VenueAnnals of Clinical Psychiatry · 2002
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTardive dyskinesiaAntipsychoticPsychosisSchizophrenia (object-oriented programming)Extrapyramidal symptomsDyskinesiaPsychologyMedicinePsychiatryNeuroscienceInternal medicineDisease

Abstract

fetched live from OpenAlex

Neuromotor dysfunction, particularly extrapyramidal signs and symptoms (EPSS), plays an important role in the assessment and treatment of patients in the early stages of psychotic disorders such as schizophrenia. By blocking dopamine D2 receptors, antipsychotic medications can produce EPSS, including tardive dyskinesia. EPSS is also observed in a third or more of patients first presenting with a psychotic disorder, prior to initiation of antipsychotic pharmacotherapy. This suggests that abnormalities in neuromotor control may be an integral component of the brain mechanisms associated with psychosis. Atypical antipsychotic agents can alleviate psychosis without inducing EPSS. Preexisting EPSS may be corrected.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.339
GPT teacher head0.523
Teacher spread0.184 · 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 designOther design
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

Citations5
Published2002
Admission routes1
Has abstractyes

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