{"id":"W7122765783","doi":"10.65264/cjhl1870","title":"Article 8: The Changing Federal Offender Population Under Community Supervision: Recognition And Response","year":2019,"lang":"","type":"article","venue":"Advancing Corrections Journal","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Service (business); Community service; Analytics; Best practice","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":[0.00212778,0.0001938968,0.0002217056,0.001523683,0.004476851,0.003525693,0.001485787,0.001684039,0.008275182],"category_scores_gemma":[0.01535802,0.0001509324,0.0002427764,0.001102065,0.001224117,0.001925772,0.002908085,0.002187663,0.0006649024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01290477,"about_ca_system_score_gemma":0.02135917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3976143,"about_ca_topic_score_gemma":0.5820235,"domain_scores_codex":[0.99721,0.0006425788,0.0001062598,0.0002573093,0.0008403353,0.0009435645],"domain_scores_gemma":[0.9905735,0.001249337,0.001983415,0.0002211471,0.002884156,0.003088529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001504173,0.0004219084,0.6303738,0.0002565573,0.00005088279,0.0008950935,0.02623454,0.0009211167,0.0009729664,0.007046387,0.1609651,0.1717113],"study_design_scores_gemma":[0.00001922341,0.0001699444,0.8611919,0.0004865451,0.00003070855,0.0005064296,0.08234868,0.002735327,0.0006276496,0.003164554,0.04865675,0.00006221273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504062,0.0007713307,0.001203018,0.1206378,0.0003903345,0.0002805975,0.002515534,0.0001601717,0.02363507],"genre_scores_gemma":[0.9882938,0.0005623764,0.0008519579,0.004096434,0.000207457,0.0001106886,0.0007588962,0.00002150412,0.005096883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3976143,"threshold_uncertainty_score":0.7905998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03989871057294173,"score_gpt":0.3133976671611784,"score_spread":0.2734989565882366,"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."}}