{"id":"W7119817938","doi":"10.65264/hagt3829","title":"Article 9: Ethical Risk Assessment In Corrections","year":2019,"lang":"","type":"article","venue":"Advancing Corrections Journal","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Process (computing); Risk assessment; Ethical issues; Confidentiality; Service (business)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001668534,0.000393218,0.0005360818,0.0009002227,0.001881822,0.001079331,0.0002795033,0.0002590021,0.003473992],"category_scores_gemma":[0.0007782303,0.0004050424,0.0003188698,0.002073058,0.0001181483,0.00219244,0.0002133893,0.004190496,0.001822859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640109,"about_ca_system_score_gemma":0.0002554976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005224392,"about_ca_topic_score_gemma":0.001786982,"domain_scores_codex":[0.9967362,0.0001693048,0.00110045,0.0005334684,0.0006201502,0.000840471],"domain_scores_gemma":[0.9974852,0.0003560969,0.0008920974,0.0003948664,0.0007931877,0.00007858226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000557891,0.0003210819,0.9225907,0.00004929522,0.00009652164,0.00001251904,0.0002541278,0.04788239,0.0002017279,0.001659434,0.005695123,0.02118127],"study_design_scores_gemma":[0.001858545,0.00008474153,0.7623298,0.0005533173,0.0001703446,0.00006356118,0.007467676,0.1364071,0.00001111072,0.004283466,0.08621424,0.0005560783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8584922,0.0006065958,0.03627839,0.007300118,0.03680636,0.00072621,0.000003969656,0.0001712438,0.0596149],"genre_scores_gemma":[0.9904067,0.0006856159,0.001087578,0.001347781,0.002100643,0.00002465384,0.00000299125,0.00005173509,0.004292285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602609,"threshold_uncertainty_score":0.9999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951866675872495,"score_gpt":0.2830355067415975,"score_spread":0.2735168399828726,"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."}}