{"id":"W2945283365","doi":"10.4309/jgi.2019.41.9","title":"The story of a lottery addict in India: Who is responsible and what are its policy implications?","year":2019,"lang":"en","type":"article","venue":"Journal of Gambling Issues","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lottery; Humanities; Psychology; Political science; Economics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008304423,0.0001186129,0.0003138903,0.000532323,0.00008404193,0.0001006299,0.0002036776,0.000100363,0.00007064645],"category_scores_gemma":[0.0001212568,0.00008432109,0.00008521519,0.0003142756,0.00005519525,0.0003746281,0.00003712112,0.0003463645,0.00003473312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005936663,"about_ca_system_score_gemma":0.00009928803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004220936,"about_ca_topic_score_gemma":0.000009918228,"domain_scores_codex":[0.9987993,0.0002182014,0.0004272639,0.0001438596,0.000202294,0.000209102],"domain_scores_gemma":[0.998552,0.0003779978,0.0005216649,0.0002934971,0.0001872713,0.00006760741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006234738,0.0003664015,0.9492223,0.00003501807,0.000230587,0.00006271066,0.01444062,0.00000632887,0.002722023,0.001003261,0.003039808,0.02824743],"study_design_scores_gemma":[0.001130866,0.0002958512,0.9848679,0.0003649964,0.00003993791,0.00009385972,0.004223555,0.000001452578,0.00106255,0.0002676015,0.007574302,0.00007706735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758484,0.01858964,0.000001061035,0.004773227,0.000333018,0.0001413937,0.000007603106,0.000005978982,0.0002996687],"genre_scores_gemma":[0.9941765,0.003075787,0.00006601564,0.0001701886,0.0001212459,0.000005208125,7.450048e-7,0.00001796881,0.002366312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03564563,"threshold_uncertainty_score":0.3438514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1590223049232838,"score_gpt":0.4463212718824767,"score_spread":0.2872989669591929,"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."}}