{"id":"W7019230293","doi":"","title":"General Equilibrium Effects of Prison on Crime: Evidence from International Comparisons","year":2012,"lang":"en","type":"article","venue":"","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Punishment (psychology); Prison; International comparisons; Public policy; General equilibrium theory; Selection (genetic algorithm)","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":[0.00329292,0.0003371917,0.0009877096,0.001289959,0.0006574378,0.001456669,0.0006561574,0.0006244587,0.007196656],"category_scores_gemma":[0.01585054,0.0002801364,0.001474034,0.001942025,0.001034176,0.001214537,0.001097881,0.0008128726,0.0005274671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009771032,"about_ca_system_score_gemma":0.0004575891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04990667,"about_ca_topic_score_gemma":0.03099389,"domain_scores_codex":[0.9986934,0.000651454,0.00006226377,0.0002266464,0.00008459051,0.000281637],"domain_scores_gemma":[0.986082,0.007116244,0.003341611,0.001727859,0.001171538,0.0005608281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005897528,0.0010034,0.8127941,0.0004543394,0.003230861,0.0006780486,0.001486303,0.0771147,0.0009350773,0.05079233,0.006113552,0.03949974],"study_design_scores_gemma":[0.0003508408,0.0007381043,0.9527376,0.0001049535,0.0009295457,0.0002014054,0.001416108,0.02242108,0.0008599705,0.01624185,0.003910073,0.00008856494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869783,0.0009969642,0.001141725,0.0004151004,0.00003311958,0.00002015002,0.001223883,0.00003657277,0.009154216],"genre_scores_gemma":[0.9979564,0.0004578339,0.0002247372,0.00003926373,0.00001495037,0.00001037589,0.00061631,0.00001161265,0.0006685217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04990667,"threshold_uncertainty_score":0.09923238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07462559444158538,"score_gpt":0.2837624280720081,"score_spread":0.2091368336304227,"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."}}