{"id":"W2068966111","doi":"10.4309/jgi.2007.19.3","title":"I. Adolescent problem gambling: Developing a gambling expectancy instrument","year":2007,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Expectancy theory; Psychology; Arousal; Developmental psychology; Scale (ratio); Sample (material); Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004527095,0.0003074841,0.0002502698,0.001342446,0.0002220257,0.0005036778,0.0004339127,0.0004129095,0.001203331],"category_scores_gemma":[0.007323856,0.0002376117,0.0003940261,0.0005833288,0.0002466088,0.0005659722,0.0008338685,0.0008048072,0.0004992561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003248596,"about_ca_system_score_gemma":0.000983948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279467,"about_ca_topic_score_gemma":0.002475055,"domain_scores_codex":[0.9988243,0.0004814548,0.0002547538,0.00006730518,0.0003015621,0.00007055769],"domain_scores_gemma":[0.9963357,0.001530336,0.0007186691,0.0001479024,0.001048425,0.0002188898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002587517,0.0009581735,0.7345697,0.0002166321,0.000060932,0.0001531515,0.001151864,0.0014623,0.005170001,0.002037296,0.001997209,0.251964],"study_design_scores_gemma":[0.00007376012,0.001773461,0.9644037,0.0002098915,0.00008514086,0.0007466457,0.0009004378,0.0114002,0.00527519,0.001988012,0.01309571,0.00004783267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130212,0.0005703849,0.06591288,0.0005513275,0.0001246601,0.005525348,0.002142341,0.0003878255,0.01176407],"genre_scores_gemma":[0.7818816,0.000609774,0.2073925,0.0002190341,0.00005850807,0.004823015,0.002956619,0.00006074578,0.001998194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004527095,"threshold_uncertainty_score":0.02394181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3108802664671324,"score_gpt":0.4587847711885102,"score_spread":0.1479045047213778,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}