{"id":"W2245703777","doi":"","title":"Market Preferences for Risk Distributions: Evidence from Lottery Loans","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Quarter (Canadian coin); Newspaper; Bond; Face value; Economics; Value (mathematics); Distribution (mathematics); Monetary economics; Financial economics; Business; Actuarial science; Advertising; Microeconomics; Finance; Geography; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009489454,0.0003608275,0.0006394644,0.0009068979,0.0006649662,0.002122838,0.0007904624,0.001356492,0.01493974],"category_scores_gemma":[0.07904091,0.0004064315,0.0004919148,0.0006533204,0.002562502,0.001925748,0.000886349,0.002056122,0.001441089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000392207,"about_ca_system_score_gemma":0.0001961576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007474137,"about_ca_topic_score_gemma":0.0005513056,"domain_scores_codex":[0.9960575,0.002475777,0.0001854937,0.0004112508,0.0007260012,0.0001439748],"domain_scores_gemma":[0.8982989,0.06540196,0.02174234,0.01011048,0.002026369,0.002419986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02590147,0.01081785,0.5931543,0.001486896,0.001827384,0.001311979,0.008546626,0.01036973,0.01438867,0.07992193,0.0086985,0.2435747],"study_design_scores_gemma":[0.001583972,0.003876383,0.8232191,0.0002868607,0.0002723914,0.001532224,0.003351503,0.01904725,0.002495743,0.1333757,0.01074163,0.0002172389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762305,0.0005294298,0.003657297,0.0009062933,0.0000278387,0.000084053,0.0002386209,0.00002536285,0.01830069],"genre_scores_gemma":[0.9972657,0.0002744541,0.0008843422,0.0002231932,0.00002719071,0.00003865765,0.0001767613,0.00001104753,0.001098648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493974,"threshold_uncertainty_score":0.05018568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766604397960456,"score_gpt":0.4303640230401657,"score_spread":0.2537035832441201,"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."}}