{"id":"W2606042596","doi":"10.5539/ass.v13n5p136","title":"Gambling Consumers in Thailand","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Household income; Consumption (sociology); Alcohol consumption; Socioeconomics; Economics; Work (physics); Demographic economics; Geography; Alcohol; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002325194,0.0001526648,0.0001649449,0.0008667459,0.0008716468,0.001034498,0.0001590268,0.0003259625,0.003455003],"category_scores_gemma":[0.0009523695,0.0002155804,0.0002379346,0.001947487,0.0003356719,0.0007480768,0.0006344987,0.0006673717,0.0003688244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701298,"about_ca_system_score_gemma":0.0004190605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03812507,"about_ca_topic_score_gemma":0.05772806,"domain_scores_codex":[0.9997708,0.00006461539,0.00002172519,0.00003530519,0.00004334578,0.00006413695],"domain_scores_gemma":[0.9993159,0.000124088,0.0002823651,0.00001813212,0.00006744949,0.0001922289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000680934,0.000116297,0.9853184,0.00004831382,0.00002866887,0.0008073204,0.005726842,0.000167332,0.0001678192,0.000195228,0.0006109226,0.006744724],"study_design_scores_gemma":[0.000004994316,0.0000694613,0.983236,0.00003075992,0.00001603249,0.0008319834,0.0138392,0.0006486934,0.00005443118,0.0001223837,0.001134313,0.00001167743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979861,0.00008151399,0.00004561162,0.0000949336,0.000003092304,0.000008786065,0.000403831,0.000002054163,0.001374111],"genre_scores_gemma":[0.9983234,0.00017186,0.00004919351,0.00005978488,0.000004650825,0.00001550192,0.0003941398,0.000001842175,0.0009796262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03812507,"threshold_uncertainty_score":0.07580632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413929153743035,"score_gpt":0.454978593202603,"score_spread":0.3135856778282995,"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."}}