{"id":"W4246557685","doi":"10.2139/ssrn.3157918","title":"Lottery Equilibrium","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Lottery; Mathematical economics; Economics; Mathematics; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616923,0.0009117033,0.00170792,0.001423282,0.001706828,0.003927587,0.002067747,0.003185927,0.09938088],"category_scores_gemma":[0.007410558,0.0004957644,0.001153101,0.0009846973,0.001213957,0.003715732,0.001894611,0.003661255,0.01362562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148251,"about_ca_system_score_gemma":0.00239154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071599,"about_ca_topic_score_gemma":0.00153359,"domain_scores_codex":[0.998561,0.0005635214,0.00005952895,0.000237835,0.0002840839,0.0002940116],"domain_scores_gemma":[0.9985632,0.0006168135,0.00008852087,0.000276057,0.0002316262,0.0002236493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001602083,0.0001770554,0.0002753349,0.00005959716,0.00003659282,0.00005769462,0.00006426792,0.002653952,0.0003172218,0.9481027,0.02285827,0.02523707],"study_design_scores_gemma":[0.000101131,0.00006007001,0.0003240258,0.0000322257,0.00001527944,0.0001323598,0.00004940051,0.01994888,0.0001906894,0.9702899,0.008841332,0.00001466536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0612834,0.0007373469,0.1734333,0.01211243,0.0006045605,0.0004942513,0.001739568,0.0008553713,0.7487398],"genre_scores_gemma":[0.6377457,0.0007644898,0.02441172,0.002247162,0.0003420096,0.0006821394,0.001022362,0.00028961,0.3324947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09938088,"threshold_uncertainty_score":0.3324622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04630888726028576,"score_gpt":0.367828533733864,"score_spread":0.3215196464735782,"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."}}