{"id":"W7071781896","doi":"","title":"Sylvia Ryerson - Public Airwaves Through Prison Walls: Restoring Connection in the Era of Mass Incarceration","year":2017,"lang":"en","type":"article","venue":"The Research Repository @ WVU (West Virginia University)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prison; Reading (process); Connection (principal bundle); Mass incarceration; Downtown","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":[0.001417961,0.000368915,0.0002927952,0.000701154,0.01378563,0.0064514,0.0008186158,0.002923238,0.02431917],"category_scores_gemma":[0.00419685,0.0003487159,0.0003535459,0.0005782626,0.004596391,0.00577054,0.007087672,0.007051368,0.005631344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002241085,"about_ca_system_score_gemma":0.00447935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060643,"about_ca_topic_score_gemma":0.04351997,"domain_scores_codex":[0.999119,0.0003542211,0.00002275969,0.00006677971,0.0001622514,0.0002750751],"domain_scores_gemma":[0.99777,0.000333027,0.0001622267,0.0001075627,0.0004219285,0.001205373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005229556,0.0000442921,0.001125325,0.0001248136,0.000007778811,0.0006159312,0.02545591,0.00006236949,0.0004122794,0.01471235,0.9157211,0.04166548],"study_design_scores_gemma":[0.00001354358,0.0000520365,0.002417467,0.0003451658,0.000009936248,0.0005675126,0.07774371,0.00003509889,0.0004173639,0.00385934,0.9145191,0.00001971778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04613079,0.03200595,0.001782577,0.6698369,0.02507248,0.00009048089,0.0001861774,0.0005172977,0.2243773],"genre_scores_gemma":[0.5108984,0.04364108,0.002981965,0.09303568,0.01013674,0.0002507055,0.0002220532,0.0008762965,0.3379571],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02431917,"threshold_uncertainty_score":0.08135575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08519067672414718,"score_gpt":0.3173254195518206,"score_spread":0.2321347428276735,"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."}}