{"id":"W2062490291","doi":"10.1080/14459795.2011.552575","title":"Mathematical analyses of casino rebate systems for VIP gambling","year":2011,"lang":"en","type":"article","venue":"International Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Universidade de Macau","keywords":"Revenue; Incentive; Simple (philosophy); Econometrics; Computer science; Economics; Microeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472736,0.0002028316,0.0004294864,0.0003038095,0.00008552022,0.00002452869,0.0002588782,0.00007955509,0.0001500626],"category_scores_gemma":[0.0002542024,0.0001656128,0.0002042882,0.0001363907,0.0001187738,0.00008239073,0.00006832811,0.00008410578,0.00007701919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006299314,"about_ca_system_score_gemma":0.00001467521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206604,"about_ca_topic_score_gemma":0.000004114343,"domain_scores_codex":[0.9984585,0.00004537327,0.0006045274,0.0003315431,0.0002991194,0.0002609206],"domain_scores_gemma":[0.9984517,0.0003430145,0.0002865099,0.0002581172,0.0006135848,0.00004711282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003455969,0.009431358,0.3577168,0.001462863,0.04636627,0.0006603135,0.1170604,0.0006117836,0.01605234,0.4269179,0.008170303,0.01209367],"study_design_scores_gemma":[0.03973688,0.006436349,0.5820255,0.007120196,0.01351622,0.001407243,0.1323005,0.007177737,0.08136056,0.1063826,0.01636277,0.006173498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701784,0.003360758,0.004491935,0.00008268872,0.003791099,0.0004632686,0.00009197321,0.000116513,0.01742341],"genre_scores_gemma":[0.9937279,0.00009809303,0.002775923,0.00002023326,0.0001738253,0.0002013762,0.00001490833,0.00002992281,0.002957879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205353,"threshold_uncertainty_score":0.6753493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5995404354496394,"score_gpt":0.5492549032456103,"score_spread":0.05028553220402909,"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."}}