{"id":"W4386271874","doi":"10.1017/s0140525x23000857","title":"Nudges, regulations, and behavioral public choice","year":2023,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nudge theory; Psychology; Social psychology","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":[0.008147116,0.0003758033,0.000869189,0.0005426634,0.003379608,0.003330641,0.001454886,0.04320585,0.009029542],"category_scores_gemma":[0.03520937,0.000276975,0.0007213304,0.0004432263,0.01081196,0.003744672,0.001347645,0.02584367,0.002947279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00467273,"about_ca_system_score_gemma":0.002842999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008732587,"about_ca_topic_score_gemma":0.01613762,"domain_scores_codex":[0.9963771,0.001888584,0.0002016871,0.0004252316,0.0007037536,0.000403749],"domain_scores_gemma":[0.959509,0.03538498,0.001132692,0.001033431,0.001750375,0.001189433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002248133,0.0001545501,0.003559102,0.00009675461,0.00003501528,0.001122605,0.0006788747,0.0003853102,0.0002598986,0.1995047,0.7553491,0.03862929],"study_design_scores_gemma":[0.0003702244,0.0001404357,0.00493493,0.0003615285,0.00004767379,0.001209307,0.001383561,0.002978312,0.0007645909,0.4878004,0.4998974,0.0001116951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008524015,0.0009904088,0.0001729872,0.9923775,0.001072894,0.00000403783,0.00001177827,0.000006996013,0.004511042],"genre_scores_gemma":[0.05445239,0.002011257,0.0004972647,0.9283997,0.007983686,0.00005176318,0.00001581476,0.00001287475,0.006575166],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04320585,"threshold_uncertainty_score":0.04308659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3885912200096558,"score_gpt":0.4611049836902284,"score_spread":0.07251376368057261,"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."}}