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When Less Is More: Reducing the Incidence of Antipsychotic Polypharmacy

2007· review· en· W1981889302 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Psychiatric Practice · 2007
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsColumbia College
Fundersnot available
KeywordsPolypharmacyAntipsychoticAutonomyMental healthMedicinePsychiatrySchizophrenia (object-oriented programming)Intensive care medicinePolitical science

Abstract

fetched live from OpenAlex

In 2003, the New York State Office of Mental Health initiated a program aimed at supporting patient recovery by simplifying antipsychotic regimens. A key component of the program, which has been essential in supporting physician autonomy, was the introduction of a software program, Psychiatric Clinical Knowledge Enhancement System, termed "PSYCKES." This software program enables physicians to visualize at a glance the medication history of each of their patients as well as of their colleagues' patients, as a way of making better-informed decisions. The fiscal impact, in the direction of a significant reduction in antipsychotic polypharmacy, was not lost on policy-makers, who have included $1.3 million in the current state budget for the dissemination of this program.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.965
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.105
GPT teacher head0.470
Teacher spread0.365 · 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