Typification of Fixations of Oculomotor Reactions in the Perception of Addictively Significant Stimuli by Patients with Alcohol Dependence
Bibliographic record
Abstract
The relevance of the study is due to the need to search for objectivizing methods for identifying signs and manifestations of dependence, both for diagnostic purposes and for the purpose of assessing the effectiveness of the rehabilitation process at its various stages. Purpose: to identify typical strategies for the distribution of fixations of oculomotor reactions during the perception of addictively significant stimuli by patients with alcohol dependence. Materials and Methods: The total sample size was 73 people. The experimental group included 37 subjects (23 men and 14 women) with alcohol dependence (diagnosed as F10.2 according to ICD 10 – Alcohol dependence). The control group consisted of 36 subjects (22 men and 14 women) with a “healthy” conclusion based on the results of periodic medical examinations. The study was carried out on the basis of written informed consent from the subjects. The study included two stages: an assessment of the neurocognitive status of the subjects (Montreal Cognitive Function Assessment (MoCA) and an experimental study of fixations of oculomotor reactions during the perception of addictively significant stimuli (the hardware complex for assessing oculomotor reactions Tobii EyeX and the GazeControll software). Results. Specific features of fixations of oculomotor reactions during the perception of addictively significant stimuli by patients with alcohol dependence make it possible to typify the strategies of oculomotor reactions. on an empty background field outside the depicted objects) may be due to the actualization of a pathological craving for alcohol caused by the demonstration of addictively significant stimuli.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".