{"id":"W2128949092","doi":"10.1177/1077727x01301003","title":"Lottery Expenditures in Canada: Regional Analysis of Probability of Purchase, Amount of Purchase, and Incidence","year":2001,"lang":"en","type":"article","venue":"Family and Consumer Sciences Research Journal","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Economics; Demographic economics; Business; Actuarial science; Econometrics; Public economics; Microeconomics","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":[0.001286737,0.0002958685,0.0005426157,0.002465454,0.001392008,0.001221507,0.0013755,0.0004038202,0.002836],"category_scores_gemma":[0.007962229,0.0002931606,0.001108534,0.005244684,0.0007654458,0.0003339365,0.001081748,0.0008763103,0.0002311586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01829127,"about_ca_system_score_gemma":0.01364133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938047,"about_ca_topic_score_gemma":0.9933718,"domain_scores_codex":[0.9987148,0.0002755925,0.00007109258,0.0002155852,0.0003364547,0.0003865615],"domain_scores_gemma":[0.9926751,0.001454671,0.001718498,0.0004198194,0.002690355,0.00104156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001269009,0.00001944076,0.9907395,0.00001871812,0.0001644268,0.00006951721,0.000462705,0.001952192,0.000108449,0.0004698253,0.001220478,0.004647769],"study_design_scores_gemma":[0.000004611542,0.00001293881,0.9960055,0.00001188276,0.00003925029,0.00005108216,0.0005557296,0.002325039,0.00005069894,0.00004921019,0.0008800096,0.00001415823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891277,0.0006912233,0.0004828198,0.0002492353,0.000006971919,0.00003818703,0.007235053,0.00003629069,0.002132542],"genre_scores_gemma":[0.9945272,0.0002862866,0.0003416376,0.00002174588,0.000003528437,0.00001602456,0.00372841,0.00001389307,0.001061196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829127,"threshold_uncertainty_score":0.1327131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2653165395508592,"score_gpt":0.448395255368322,"score_spread":0.1830787158174628,"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."}}