{"id":"W2780881372","doi":"10.18192/jpp.v26i1-2.2286","title":"Prisoners’ Legal Services on Segregation","year":2017,"lang":"en","type":"article","venue":"Journal of Prisoners on Prisons","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Criminology; Legal service; Computer security; Law; Business; Political science; Law and economics; Computer science; Psychology; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002318661,0.0002273588,0.0006024652,0.002230643,0.003682839,0.00272801,0.001340682,0.001252546,0.01522711],"category_scores_gemma":[0.0188792,0.0002544886,0.000820279,0.002694477,0.001179105,0.002239066,0.005121996,0.001657511,0.0004905823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005774626,"about_ca_system_score_gemma":0.005202532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1631121,"about_ca_topic_score_gemma":0.2612761,"domain_scores_codex":[0.9938716,0.00217902,0.0002665014,0.0002557674,0.0004915529,0.002935579],"domain_scores_gemma":[0.9880682,0.002109205,0.003561675,0.0002819822,0.00200192,0.003977039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008956993,0.0006822378,0.9680558,0.00006184109,0.0001416033,0.000323883,0.006446314,0.0001261089,0.00008869968,0.002715396,0.002857771,0.01760468],"study_design_scores_gemma":[0.00001980685,0.0001086027,0.9834026,0.0001457665,0.000060636,0.00008132471,0.01421225,0.0001185916,0.00004560268,0.0003166211,0.001480652,0.000007642114],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909244,0.0006943953,0.00001853976,0.002334685,0.00003195929,0.00001223471,0.0003197977,0.000001875989,0.005662072],"genre_scores_gemma":[0.9988453,0.0001529123,0.00001185028,0.000122746,0.00002313426,0.000004767483,0.0001224355,0.000002014072,0.0007148074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1631121,"threshold_uncertainty_score":0.3243253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794556873993338,"score_gpt":0.3453848965827914,"score_spread":0.3174393278428581,"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."}}