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Record W2413174812 · doi:10.1159/000467987

Influence of Some Psychoactive Drugs on Mineral Metabolism inMan

2017· article· en· W2413174812 on OpenAlex
J.W. Lobett Doust, Louis Huszka

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

VenueInternational Pharmacopsychiatry · 2017
Typearticle
Languageen
FieldMedicine
TopicPharmacology and Obesity Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePharmacologyToxicologyBiology

Abstract

fetched live from OpenAlex

A MAOI drug, phenelzine and two amino acids, tryptophan and glycine were administered serially to a group of patients with chronic schizophrenia for three-week periods. Measurements of body weight, of four electrolytes and two steroids were made at regular intervals. The research design included control of each variable and allowed for the presence in some patients only of tranquilizing drugs having anti-adrenalin and antiserotonin effects and of an anticholinergic drug. Analyses of variance were employed to evaluate the results. It was found that the following trends resulted. Introduction of phenelzine led to an increase in plasma sodium and a fall in magnesium. Tryptophan feeding brought about increases in plasma sodium, potassium, magnesium and calcium and a decrease in plasma corticoids and urinary 17-ketosteroids. The effect of phenothiazine and butyrophenone tranquilizing drugs was to increase plasma potassium and the plasma corticoids. Body weight changes were not relevant to these results.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.526
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.367
Teacher spread0.353 · 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