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Record W2007615441 · doi:10.1159/000117652

Fluphenazine Decanoate and Fluphenazine Enanthate in the Out-Patient Management of Chronic Schizophrenia

2008· article· en· W2007615441 on OpenAlexaff
Duncan J. MacCrimmon, B. Saxena, P. F. Foley, Paul Grof

Bibliographic record

VenueNeuropsychobiology · 2008
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsHamilton Psychiatric Hospital
Fundersnot available
KeywordsFluphenazineSchizophrenia (object-oriented programming)Extrapyramidal symptomsAkathisiaMedicinePsychosisAnesthesiaPsychologyPsychiatryInternal medicineAntipsychoticHaloperidol

Abstract

fetched live from OpenAlex

39 chronic schizophrenic out-patients were given either fluphenazine decanoate or enanthate for a 1-year double-blind trial. Doses of 25 mg were given for the first 6 months and 37.5 mg for the last 6 months. For both agents the intervals between treatments lengthened significantly over the course of the trial. Fluphenazine decanoate showed a non-significant trend for a longer duration of action coupled with a significantly lower incidence of extrapyramidal side effects.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.290
Teacher spread0.265 · 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 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

Citations3
Published2008
Admission routes1
Has abstractyes

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