{"id":"W3163118862","doi":"","title":"Estimating Long-Run Incarceration Rates for Australia, Canada, England & Wales, New Zealand and the United States","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imprisonment; New england; Geography; Population; Political science; Demography; Law; Sociology","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":[0.0008848842,0.0003722086,0.0004059703,0.009496467,0.0009353635,0.001086091,0.0007132959,0.0002897009,0.001571145],"category_scores_gemma":[0.005553439,0.0003011109,0.0004922542,0.01229474,0.0003133505,0.0007757591,0.001091065,0.0007261491,0.0004485931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008483751,"about_ca_system_score_gemma":0.009846411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9700567,"about_ca_topic_score_gemma":0.9733564,"domain_scores_codex":[0.9994164,0.00004300428,0.00006642479,0.00007924964,0.0002386862,0.0001563207],"domain_scores_gemma":[0.9959614,0.0004148089,0.0007948283,0.0001543455,0.002305139,0.0003695461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004907686,0.00003150122,0.9640378,0.0001683073,0.0002415973,0.0001389149,0.003388686,0.002174053,0.0001433204,0.001297825,0.008508877,0.01982001],"study_design_scores_gemma":[0.000002308111,0.000009585347,0.9920571,0.00005044727,0.00003483842,0.00003168936,0.002373347,0.001116677,0.00008938561,0.00008054358,0.004139964,0.00001406208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545418,0.0008398528,0.0007462746,0.00017349,0.00001802725,0.0001044528,0.03811983,0.00006379634,0.005392494],"genre_scores_gemma":[0.9054287,0.003184597,0.002614357,0.0000645008,0.00002011189,0.000212194,0.081945,0.00005320933,0.006477345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02994329,"threshold_uncertainty_score":0.06155419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08644176766304495,"score_gpt":0.3751483781181625,"score_spread":0.2887066104551176,"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."}}