{"id":"W7052205408","doi":"","title":"\"Public welfare\" factor’s impact on people’s willingness to gamble","year":2023,"lang":"en","type":"article","venue":"Digital Scholarship - UNLV (University of Nevada Reno)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lottery; Revenue; Welfare; Government (linguistics); Quarter (Canadian coin); Consumption (sociology); Social Welfare","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":[0.001175431,0.0002286771,0.0003161429,0.0007617619,0.000935869,0.001891149,0.0003955258,0.0006474131,0.03131654],"category_scores_gemma":[0.008074498,0.0001854081,0.00114568,0.0007485261,0.0005195685,0.0007562094,0.001046684,0.001480659,0.003283624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461648,"about_ca_system_score_gemma":0.00131081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03165219,"about_ca_topic_score_gemma":0.03447751,"domain_scores_codex":[0.9990767,0.0002978417,0.00006045108,0.00009867271,0.0001581353,0.0003080705],"domain_scores_gemma":[0.9936806,0.001639478,0.001668414,0.0002553425,0.000781869,0.001974172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004121957,0.0007685712,0.9771348,0.00004925093,0.0001634232,0.00009047658,0.0006367539,0.0002034957,0.00008824233,0.0004495337,0.004210643,0.01579274],"study_design_scores_gemma":[0.00001153389,0.0001173658,0.9966339,0.00002823047,0.00006056435,0.00002475883,0.001292165,0.0002884549,0.00003745322,0.0001387943,0.001358324,0.000008408781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849126,0.0002518713,0.00008605498,0.00153137,0.00004414599,0.00002853374,0.0008170846,0.00001938853,0.01230893],"genre_scores_gemma":[0.995522,0.0001219388,0.00005102183,0.0001362977,0.00002835076,0.00002590938,0.0004717413,0.000006543024,0.003636177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03165219,"threshold_uncertainty_score":0.1047643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434406604432226,"score_gpt":0.2685199192327391,"score_spread":0.2250792587895165,"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."}}