{"id":"W2110691199","doi":"10.2139/ssrn.338280","title":"How Should a Behavioral Economist Do Welfare Economics?","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Welfare; Behavioral economics; Behavioural economics; Public economics; Neoclassical economics; Microeconomics; Market economy","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004304574,0.0003795358,0.0006246198,0.000527575,0.0007097466,0.002937471,0.001852421,0.0002425781,0.001853435],"category_scores_gemma":[0.0003192364,0.0003090352,0.0005659378,0.0003091847,0.000143845,0.001382321,0.0001812659,0.002103385,0.001047322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574013,"about_ca_system_score_gemma":0.0004764741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003637436,"about_ca_topic_score_gemma":0.0008181774,"domain_scores_codex":[0.9948224,0.0001453485,0.001070412,0.0008061239,0.0004934687,0.002662176],"domain_scores_gemma":[0.9975895,0.0002039244,0.0007508818,0.0008944913,0.0002203802,0.0003408029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002902332,0.0001616974,0.002595867,3.874498e-7,0.00003114725,0.00001441343,0.0001184837,0.00007299739,0.000009217539,0.02985589,0.001698561,0.9654123],"study_design_scores_gemma":[0.001012448,0.0005066867,0.0003854375,0.000008608342,0.00005315436,0.001393219,0.005298938,0.0007879011,0.00002286147,0.7061794,0.283793,0.0005583222],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793677,0.001386236,0.0009816471,0.01313917,0.001209739,0.0001472751,0.00002592037,0.00005248797,0.003689872],"genre_scores_gemma":[0.9874735,0.00134567,0.0002511712,0.0002060624,0.000501418,0.000007803344,0.000002335308,0.00004996698,0.01016205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.964854,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136372390685037,"score_gpt":0.3550400299084867,"score_spread":0.2186676392234497,"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."}}