{"id":"W3201832590","doi":"10.33423/jabe.v22i5.3052","title":"Measuring the Performance of the U.S. Correctional Systems at the State Level","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Data envelopment analysis; Performance measurement; Measure (data warehouse); Performance indicator; State (computer science); Set (abstract data type); Key (lock); Computer science; Business; Operations management; Operations research; Environmental economics; Process management; Engineering; Marketing; Economics; Computer security; Statistics; Mathematics; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002369455,0.0000870053,0.0002674963,0.00005061731,0.0003771348,0.0001975587,0.0006992532,0.00002565725,0.00001906678],"category_scores_gemma":[0.000178008,0.00003496501,0.00009427936,0.0004454558,0.0002053666,0.0001426904,0.000186736,0.0001613938,0.00001083457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004329081,"about_ca_system_score_gemma":0.0001259971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001747003,"about_ca_topic_score_gemma":0.0000321238,"domain_scores_codex":[0.9985829,0.00003856587,0.0007513028,0.0001320802,0.000388136,0.0001070202],"domain_scores_gemma":[0.9978358,0.0004236181,0.00113093,0.0002300084,0.00034031,0.00003929002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001381305,0.00001326213,0.007265763,0.00001152553,0.00004875548,2.733599e-7,0.001009412,0.9837747,0.0004917764,0.0003110092,0.0009712562,0.005964085],"study_design_scores_gemma":[0.001253454,0.00008811695,0.3445497,0.00009825308,0.0002172847,0.0002703186,0.005664203,0.59443,0.004286895,0.001745131,0.04700953,0.0003871798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952533,0.0002145972,0.0006264526,0.002692521,0.0006929797,0.00007177556,0.000007109844,0.000001483126,0.000439751],"genre_scores_gemma":[0.9992023,0.000164802,0.00002477704,0.0003187626,0.0001704759,0.000001038842,1.191781e-7,0.000005481122,0.0001122985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3893448,"threshold_uncertainty_score":0.2900654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09881029395446084,"score_gpt":0.2577086537774107,"score_spread":0.1588983598229499,"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."}}