{"id":"W3123204013","doi":"10.2139/ssrn.452421","title":"Equity and Policy Effectiveness with Imperfect Targeting","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Imperfect; Equity (law); Economics; Business; Public economics; Political science; Law","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":[0.02259438,0.000579746,0.001477821,0.001530347,0.001109774,0.005281141,0.001017999,0.00404477,0.01195127],"category_scores_gemma":[0.0834496,0.0004076994,0.0005718024,0.001763828,0.00340499,0.005905706,0.002635014,0.002991832,0.0005147809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003259432,"about_ca_system_score_gemma":0.002842112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004141287,"about_ca_topic_score_gemma":0.002485111,"domain_scores_codex":[0.9888607,0.006734166,0.000357679,0.0006385893,0.001213809,0.002195114],"domain_scores_gemma":[0.9091113,0.07638656,0.007842182,0.003389586,0.001789352,0.001481008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002559582,0.001216733,0.070754,0.0003599759,0.0007808347,0.0003249501,0.001280091,0.0964548,0.001021665,0.7429184,0.005378403,0.07695056],"study_design_scores_gemma":[0.0004681117,0.0009157214,0.03340273,0.0001113825,0.0005332749,0.0001254836,0.001714348,0.06519523,0.001798256,0.8893089,0.00639013,0.00003640278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590784,0.002729262,0.02280778,0.02432132,0.0002279567,0.0001778589,0.0003866871,0.0001307501,0.1901399],"genre_scores_gemma":[0.997247,0.0002663507,0.0003615122,0.0003649976,0.00006368972,0.0000209838,0.00001557573,0.000007254588,0.001652696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259438,"threshold_uncertainty_score":0.1194919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372555276325406,"score_gpt":0.3258060752598856,"score_spread":0.3120805224966315,"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."}}