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Record W4964914 · doi:10.1139/o67-187

Психофизиологические особенности лиц мужского и женского пола молодого возраста с малыми аномалиями сердца в зависимости от их степени выраженности

2012· article· ru· W4964914 on OpenAlexaboutno aff
М. М. Курако, В. Ф. Киричук, А. И. Кодочигова, Н. Ю. Папшицкая, Е. С. Оленко, Л. С. Сулковская

Bibliographic record

VenueСаратовский научно-медицинский журнал · 2012
Typearticle
Languageru
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScaleMinor (academic)PsychologyPersonalityMedicineFirst-degree relativesClinical psychologyCardiologyDevelopmental psychologyPsychiatryInternal medicineSocial psychologyFamily history

Abstract

fetched live from OpenAlex

MAC были более алекситимичны, чем лица женского полаResearch Objective: To compare the features of personal response in young patients with minor heart anomalies according to gender and severity of abnormalities. Materials and Methods: Physiological characteristics of 124 male and female (mean age — 22,16±2,42 years) have been examined by means of Toronto Alexithymic scale, reduced multifactorial questionnaire for the study of personality and psychogeometric test. Results: It has been found that both women and men with moderate degree of minor heart anomalies manifest polar intrapsychic tendencies, higher levels of alexithymia than in those with a lesser degree of dysplasia of the connective tissue of the heart. Conclusion: Patients with moderate degree of minor heart anomalies have experienced the conflicting intrapsychic tendencies and higher levels of alexithymia than patients with minor heart anomalies of a minimal degree, regardless of the gender. Male patients with varying degrees of severity are more likely to suffer from alexithymia than females

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)0.003
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.005

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 head0.023
GPT teacher head0.298
Teacher spread0.275 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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