{"id":"W4317212369","doi":"10.29173/cgs152","title":"US Gambling Stagnation","year":2023,"lang":"en","type":"article","venue":"Critical Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Horse racing; Revenue; Popularity; Advertising; Recession; Economics; Business; Political science; Keynesian economics; Entertainment; Law; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004410606,0.000239079,0.0003402041,0.0003455437,0.0003792295,0.00006875377,0.000149774,0.0001212498,0.000211182],"category_scores_gemma":[0.001201096,0.0002171416,0.0001293125,0.0007611953,0.0002574918,0.0001148203,0.0001176796,0.0002219495,0.002700291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007051355,"about_ca_system_score_gemma":0.00001653996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003172733,"about_ca_topic_score_gemma":0.000007660411,"domain_scores_codex":[0.9979712,0.00009698807,0.0003619052,0.0005214789,0.0003544658,0.0006939914],"domain_scores_gemma":[0.9982944,0.0008997799,0.00003834598,0.000341863,0.0003032075,0.0001223687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004103778,0.002770737,0.4652734,0.0006709468,0.002852486,0.004142328,0.03619813,0.0002107129,0.003845499,0.3120683,0.05853552,0.1130216],"study_design_scores_gemma":[0.005817266,0.001119848,0.8978616,0.0005937339,0.001316875,0.0001079839,0.03260452,0.0004235875,0.002151858,0.03089664,0.02513815,0.001967933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837149,0.002190501,0.0001823689,0.001675261,0.003630184,0.0002040557,0.00002371876,0.0009820458,0.007396919],"genre_scores_gemma":[0.9952027,0.0001524482,0.0003411295,0.0002203603,0.0002902906,0.000156363,0.00002370194,0.00004564203,0.003567419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4325882,"threshold_uncertainty_score":0.9980762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3550337035315161,"score_gpt":0.5389691419471373,"score_spread":0.1839354384156212,"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."}}