{"id":"W4395471105","doi":"10.2139/ssrn.4806765","title":"Truth in Sentencing, Incentives and Recidivism","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Recidivism; Incentive; Criminology; Psychology; Political science; Economics; Microeconomics","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":[0.02020557,0.0002532404,0.0009669386,0.001931648,0.002392547,0.006096045,0.001153355,0.004038183,0.01392671],"category_scores_gemma":[0.205106,0.000525412,0.0004174978,0.001305368,0.003164392,0.005215131,0.001700438,0.003861105,0.0007153841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860386,"about_ca_system_score_gemma":0.004469591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008320546,"about_ca_topic_score_gemma":0.01001846,"domain_scores_codex":[0.9842315,0.009038726,0.001306521,0.0009203466,0.001955329,0.002547662],"domain_scores_gemma":[0.6947299,0.2414725,0.04049575,0.006331472,0.01064529,0.006325111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01178219,0.004767273,0.6778583,0.0005315283,0.0003895797,0.001495768,0.01285563,0.01418467,0.000923526,0.2017287,0.007666459,0.06581637],"study_design_scores_gemma":[0.0007344519,0.00263844,0.6510543,0.0003309875,0.0004287518,0.0008044945,0.01552655,0.02803553,0.001650629,0.2939775,0.004622433,0.0001959621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779944,0.0005508276,0.001393868,0.006146148,0.0001050003,0.00006979558,0.0002515687,0.00002031049,0.01346813],"genre_scores_gemma":[0.9985607,0.00006719213,0.0001560206,0.00008837859,0.00004815355,0.00001056617,0.0000285645,0.000003358027,0.001036939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02020557,"threshold_uncertainty_score":0.1068586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053560098711712,"score_gpt":0.2987232649732455,"score_spread":0.2881876639861284,"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."}}