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Record W2339246995 · doi:10.17116/jnevro20151153125-29

Play behavior in people with various degrees of pathological gambling risk

2015· article· en· W2339246995 on OpenAlexaboutno aff
Mariya Prilutskaya, Ramiz Kuliev

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2015
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPathologicalMedicineSample (material)Clinical psychologySocial psychologyPsychologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: We studied play behavior of customers of betting offices. MATERIAL AND METHODS: A study included 216 people who were surveyed using the Canadian problem gambling index. According to the results of the test, we stratified the sample by the risk of pathological gambling. RESULTS AND CONCLUSION: The high prevalence of people with medium and high risk of pathological gambling was identified. Significant differences in the characteristics of gambling behavior were found. We described the qualitative and quantitative indicators of gaming activity that proved the appearance of the addicted dominant in the high-risk group (changes in the motivational sphere, financial loss, using alternative forms of the game, the regular play activity and low level of the reflection of problems caused by the game).

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.344
Teacher spread0.281 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueS S Korsakov Journal of Neurology and PsychiatrySame topicGambling Behavior and TreatmentsFrench-language works237,207