{"id":"W1597121978","doi":"10.5750/jgbe.v5i1.562","title":"MODELING CONSUMERS' PARTICIPATION IN GAMBLING MARKETS AND FREQUENCY OF GAMBLING","year":2013,"lang":"en","type":"article","venue":"The Journal of Gambling Business and Economics","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Tobit model; Estimator; Consumer Expenditure Survey; Economics; Econometrics; Microeconomics; Public economics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094859,0.0001854081,0.0004311895,0.0003502622,0.0001023354,0.00008065237,0.0001489365,0.0001133713,0.00007843241],"category_scores_gemma":[0.00008555218,0.0001432498,0.00005323119,0.0001914473,0.0001029316,0.0004327876,0.00004816061,0.0002334725,0.000005394428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004234774,"about_ca_system_score_gemma":0.00005178151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533911,"about_ca_topic_score_gemma":0.0001214325,"domain_scores_codex":[0.9984671,0.00009997724,0.0008864446,0.000169108,0.0000871035,0.0002902125],"domain_scores_gemma":[0.9987317,0.0002149571,0.0004814909,0.0002027074,0.0002743418,0.00009479056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006321265,0.0006066037,0.9132143,0.0001497014,0.0003922865,0.00002724628,0.008074967,0.02368554,0.003076812,0.001112829,0.00002132863,0.04900626],"study_design_scores_gemma":[0.004227731,0.0001465602,0.9442101,0.0003927225,0.0003931707,0.0002764488,0.002654739,0.04294104,0.0002254956,0.004150701,0.000015207,0.0003661135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966272,0.001484468,0.0008014626,0.0002610685,0.0004314127,0.0001742011,0.00000335837,0.000006990143,0.0002098574],"genre_scores_gemma":[0.9978202,0.00131104,0.0007065559,0.00004011002,0.00006531343,0.00000748074,0.000002073182,0.00002541625,0.00002178518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04864015,"threshold_uncertainty_score":0.5841559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337493706320436,"score_gpt":0.3630554460251091,"score_spread":0.2293060753930656,"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."}}