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The Mount Sinai Conference on the Pharmacotherapy of Schizophrenia

2002· review· en· W2168800481 on OpenAlexfundno aff
S.R. Marder, Susan M. Essock, Alexander L. Miller, Robert W. Buchanan, J. M. Davis, John M. Kane, J.A. Lieberman, Nina R. Schooler

Bibliographic record

VenueSchizophrenia Bulletin · 2002
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
FundersNIH Clinical CenterUniversity of California, Los AngelesUniversity of North Carolina at Chapel HillUniversity of Illinois at Urbana-ChampaignYork UniversityU.S. Department of Veterans Affairs
KeywordsTardive dyskinesiaClozapineSchizophrenia (object-oriented programming)PsychiatryAntipsychoticPharmacotherapyPsychologyOlanzapineMedicinePsychotherapist

Abstract

fetched live from OpenAlex

This report summarizes the recommendations from a consensus meeting that focused on specific questions regarding the pharmacotherapy of schizophrenia. The issues were selected because there was evidence that experts had recently disagreed about the evidence supporting a particular practice or when there were substantial variations in a clinical practice indicating that there was disagreement among clinicians. The group of experts was able to reach a consensus regarding the evidence base pertaining to the following issues: First generation (FGAs) and second generation (SGAs) antipsychotics as first line agents; the duration of antipsychotic trials; the effectiveness of clozapine and other agents for treatment refractory schizophrenia; risk of tardive dyskinesia on FGAs and SGAs; differences among antipsychotics for different dimensions of psychopathology; and side effect monitoring for various antipsychotics.

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)0.004
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0130.008

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 head0.081
GPT teacher head0.350
Teacher spread0.269 · 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

Citations128
Published2002
Admission routes1
Has abstractyes

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