{"id":"W4361000335","doi":"10.1097/jfn.0000000000000434","title":"Canada's Aging Federal Prison Population","year":2023,"lang":"en","type":"article","venue":"Journal of Forensic Nursing","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"","keywords":"Prison; Population; Population ageing; Health care; Forensic nursing; Gerontology; Medicine; Mental health; Psychology; Political science; Criminology; Poison control; Psychiatry; Environmental health; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054012,0.0003084348,0.0003245191,0.001510472,0.008083573,0.002458936,0.00142551,0.0005831601,0.00978505],"category_scores_gemma":[0.002756851,0.000168747,0.000435859,0.002120228,0.0009476813,0.0007647423,0.001748248,0.001143108,0.0006036268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05643101,"about_ca_system_score_gemma":0.1471276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953331,"about_ca_topic_score_gemma":0.9979665,"domain_scores_codex":[0.9987087,0.00009394685,0.00005076358,0.0001059233,0.0004367887,0.0006038713],"domain_scores_gemma":[0.9954614,0.0001244712,0.0004117888,0.00007525918,0.00223147,0.001695693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000113047,0.0001333706,0.4992712,0.0007409444,0.0001204364,0.001074533,0.005677692,0.000654466,0.0007939684,0.01229444,0.3071097,0.1720163],"study_design_scores_gemma":[0.00003187537,0.00008524518,0.7928725,0.00120372,0.000110383,0.0008789377,0.01378194,0.0008084183,0.000346053,0.001003796,0.1888048,0.00007244089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6856115,0.0191159,0.002019205,0.1381067,0.002019784,0.0006878122,0.0267163,0.0004787405,0.1252441],"genre_scores_gemma":[0.9417568,0.01183831,0.002035455,0.01543089,0.0003053443,0.0001846541,0.003842894,0.00005196184,0.02455374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05643101,"threshold_uncertainty_score":0.4094375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231531180160426,"score_gpt":0.3271479636754785,"score_spread":0.3048326518738743,"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."}}