{"id":"W2298958899","doi":"10.1002/bsl.2213","title":"Using Dynamic Risk to Enhance Conditional Release Decisions in Prisoners to Improve Their Outcomes","year":2016,"lang":"en","type":"review","venue":"Behavioral Sciences & the Law","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shared Services Canada; Ministry of Community Safety and Correctional Services; Carleton University","funders":"","keywords":"Risk analysis (engineering); Transparency (behavior); Risk assessment; Statute; Resource allocation; Inclusion (mineral); Process (computing); Process management; Actuarial science; Computer science; Business; Computer security; Psychology; Political science; Social psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00174185,0.0003194818,0.000781693,0.0003436081,0.002060701,0.000318331,0.001383474,0.0001624514,0.000159268],"category_scores_gemma":[0.0003152943,0.0001730189,0.0004961317,0.002300924,0.0008502787,0.0002845452,0.0002431354,0.0003085204,0.0002477341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006468865,"about_ca_system_score_gemma":0.0007322057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04433333,"about_ca_topic_score_gemma":0.1525753,"domain_scores_codex":[0.9967216,0.0005375489,0.000582183,0.0007213429,0.0007832761,0.0006540379],"domain_scores_gemma":[0.9980707,0.0007749172,0.0003237351,0.0004383416,0.0001110258,0.0002812429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000274338,0.00007546372,0.00006797008,0.00001395033,0.00001105196,0.000004106887,0.001877529,0.00003270949,0.000005061977,0.001764055,0.00004023024,0.9961051],"study_design_scores_gemma":[0.00006333193,0.0001456088,0.00008576411,0.002555891,0.001431758,0.000004576656,0.03250513,0.00003859707,0.000003095181,0.001213835,0.9611874,0.0007650398],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.11724,0.8581465,0.00672584,0.004051309,0.004001237,0.005520036,0.001464319,0.0002184902,0.002632267],"genre_scores_gemma":[0.03914066,0.9578907,0.001201301,0.0003311418,0.000184105,0.0003115959,0.0000101205,0.00002732074,0.000903054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9953401,"threshold_uncertainty_score":0.9992385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1168030596361621,"score_gpt":0.485774516461833,"score_spread":0.3689714568256708,"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."}}