{"id":"W162099999","doi":"10.4309/jgi.2004.11.21","title":"How do slot machines and other electronic gambling machines actually work?","year":2004,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Work (physics); Mythology; Computer science; Field (mathematics); Order (exchange); Resource (disambiguation); Variety (cybernetics); Computer security; Engineering; Business; Artificial intelligence; Mechanical engineering; Mathematics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000596757,0.000373832,0.000569794,0.0005006135,0.0001652916,0.0003826845,0.0003145813,0.000187546,0.0001847896],"category_scores_gemma":[0.0001008283,0.0002840688,0.0002282028,0.0003513191,0.00009223443,0.0003129812,0.00004721019,0.0006044234,0.00003440871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056736,"about_ca_system_score_gemma":0.00007155719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001313832,"about_ca_topic_score_gemma":0.00003637725,"domain_scores_codex":[0.9979532,0.000105304,0.000541039,0.00033658,0.0004530684,0.0006107807],"domain_scores_gemma":[0.9986798,0.0001022149,0.0005153226,0.0003120477,0.0001935383,0.0001971351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002956596,0.003271127,0.7038195,0.0001218409,0.002940293,0.001749354,0.03439357,0.0005375479,0.01378883,0.01264103,0.001311116,0.2224692],"study_design_scores_gemma":[0.0648256,0.01491882,0.6102734,0.004474063,0.005237818,0.01378375,0.01148795,0.0001110209,0.01470486,0.06395914,0.1903476,0.005876025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791963,0.01640135,0.0004150057,0.002164052,0.0009043526,0.0001458825,0.000005273578,0.00006664442,0.0007011682],"genre_scores_gemma":[0.9941285,0.0004162868,0.002140611,0.0001842239,0.0007595169,0.000006002444,0.00000214887,0.00008239804,0.002280295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2165932,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505357975239506,"score_gpt":0.4190488391422957,"score_spread":0.2685130416183452,"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."}}