{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00468028,0.0006676629,0.0009941357,0.001468829,0.001480484,0.004748142,0.002070452,0.0009829857,0.0003865319],"category_scores_gemma":[0.001139881,0.0004924081,0.0002652954,0.002055829,0.002364837,0.001478277,0.001019026,0.001231426,0.0003786186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007921096,"about_ca_system_score_gemma":0.0003316993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009789709,"about_ca_topic_score_gemma":0.000726439,"domain_scores_codex":[0.9921561,0.0003926259,0.00143014,0.002380252,0.0025889,0.001051969],"domain_scores_gemma":[0.9947051,0.002822282,0.000767652,0.001001615,0.0003508927,0.0003523986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002307724,0.0000533863,0.01780213,0.000004380269,0.000002782612,0.0000934936,0.0001226407,8.621182e-7,0.00002579841,0.00006030386,0.6892965,0.2925354],"study_design_scores_gemma":[0.0002960914,0.0004236911,0.02443814,0.00006613081,0.00007534897,0.000129428,0.0006086013,0.000133424,0.000006584123,0.02216217,0.9507768,0.0008835659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6184269,0.0003187751,0.00001145879,0.3787538,0.001421643,0.0003155704,0.0002881971,0.0001799617,0.0002837031],"genre_scores_gemma":[0.4969908,0.0003630499,0.004884133,0.4169373,0.007343499,0.0003336943,0.0007141387,0.0003591654,0.07207423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916518,"threshold_uncertainty_score":0.9998195,"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."}}