{"id":"W4210560626","doi":"10.1002/pam.22371","title":"The Impact of Felony Diversion in San Francisco","year":2022,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Conviction; Criminal justice; Referral; Criminology; Economic Justice; Actuarial science; Seriousness; Recidivism; Psychology; Political science; Business; Law; Medicine; Family medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001278376,0.00004808307,0.0001897789,0.0009411495,0.000606704,0.00004129626,0.0001986695,0.00001060385,0.0001565262],"category_scores_gemma":[0.00004375641,0.0000322671,0.0003373633,0.002361516,0.00006283141,0.00007602188,0.0001090687,0.00009676049,3.356199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201479,"about_ca_system_score_gemma":0.00005712065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05450209,"about_ca_topic_score_gemma":0.01546637,"domain_scores_codex":[0.9989513,0.0001845997,0.0002858465,0.0000639306,0.0003825816,0.0001317719],"domain_scores_gemma":[0.999416,0.00008299864,0.0002986697,0.00009098632,0.00006031219,0.00005106887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006261443,0.001032315,0.1432644,0.00005410772,0.01353249,0.0001873945,0.08651846,0.1374723,0.0001636289,0.02731891,0.01176092,0.5780689],"study_design_scores_gemma":[0.0005793959,0.0005100088,0.2225004,0.00001612825,0.00582439,0.00000470004,0.7465302,0.002450916,0.000006852898,0.001357769,0.02005771,0.0001615045],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943539,0.0004600254,0.0005728407,0.001205404,0.00005036867,0.0000507386,0.000002732894,0.000001509132,0.003302511],"genre_scores_gemma":[0.9960261,0.003429049,0.000032356,0.00003702926,0.0000640807,0.000001835242,4.374538e-7,0.000001580221,0.0004075517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6600118,"threshold_uncertainty_score":0.9517941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360625317464887,"score_gpt":0.3463147518844633,"score_spread":0.3327084987098144,"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."}}