{"id":"W2013520707","doi":"10.1177/0961000603353002","title":"Canadian Federal Prison Libraries","year":2003,"lang":"en","type":"article","venue":"Journal of Librarianship and Information Science","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Prison; Administration (probate law); Context (archaeology); Recreation; Maximum security; Library science; Political science; Business; Law; Geography","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":[0.001490157,0.0003392382,0.0002841845,0.004774597,0.01460712,0.003464557,0.001149924,0.0005007393,0.03204026],"category_scores_gemma":[0.006678554,0.0004374755,0.000327883,0.006987249,0.0008192811,0.00102434,0.001544263,0.0006229144,0.002635329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0662548,"about_ca_system_score_gemma":0.1095215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935871,"about_ca_topic_score_gemma":0.9977822,"domain_scores_codex":[0.9966539,0.0002940799,0.0001534573,0.0002844216,0.001351598,0.001262416],"domain_scores_gemma":[0.9885651,0.0004731194,0.0008461133,0.0002498546,0.007240415,0.002625297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000317373,0.0002219553,0.3493314,0.001104678,0.00005433764,0.0007191692,0.01637799,0.0003582049,0.001779999,0.01099819,0.3955958,0.2231409],"study_design_scores_gemma":[0.0000198397,0.00007430148,0.6116907,0.0003257472,0.00003345203,0.0003199721,0.01923582,0.0003224399,0.0006916826,0.0002504401,0.3669653,0.00007033402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6817315,0.005618982,0.0009947477,0.01731786,0.0002456562,0.001117099,0.04341028,0.0005568108,0.249007],"genre_scores_gemma":[0.8547623,0.004609166,0.002732554,0.004670583,0.00007158811,0.0004397738,0.009065937,0.00006225462,0.1235858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0662548,"threshold_uncertainty_score":0.4807145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241216980267585,"score_gpt":0.2742264610304881,"score_spread":0.2518142912278123,"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."}}