{"id":"W3007375726","doi":"10.1097/jfn.0000000000000281","title":"Introducing the 2020 Journal of Forensic Nursing Editorial Board","year":2020,"lang":"en","type":"article","venue":"Journal of Forensic Nursing","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Forensic nursing; Editorial board; Forensic science; Nursing; Medicine; Psychology; Library science; Computer science; Veterinary medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001497768,0.0001461903,0.0004654943,0.0001696459,0.000717064,0.0002304782,0.0004183179,0.0001059082,0.00005930399],"category_scores_gemma":[0.001538951,0.0001049773,0.0005189568,0.0008329338,0.0005218423,0.0005218392,0.00001462684,0.0007947728,0.000004374209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029557,"about_ca_system_score_gemma":0.0005973434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591157,"about_ca_topic_score_gemma":0.0001408625,"domain_scores_codex":[0.9971687,0.0002782467,0.0008568254,0.0001361641,0.001215886,0.0003441397],"domain_scores_gemma":[0.9968018,0.0003176167,0.001207367,0.0001296476,0.001264594,0.0002789976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004421241,0.00009778659,0.0001579292,0.00001199662,0.0001678698,0.00004944372,0.1016021,0.00125286,0.001237322,0.0004624421,0.3407554,0.5537627],"study_design_scores_gemma":[0.001344799,0.001328751,0.0002688113,0.002000423,0.004057433,0.0004696511,0.9213246,0.0009777813,0.002111164,0.00486198,0.06088117,0.0003734888],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335179,0.003001131,0.02454335,0.07636743,0.1596114,0.0001876831,0.000002621302,0.00002681586,0.002741639],"genre_scores_gemma":[0.807178,0.000235308,0.003180619,0.000292658,0.1890704,2.352509e-7,3.493562e-7,0.00001764278,0.00002474174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8197225,"threshold_uncertainty_score":0.5515149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802894781639168,"score_gpt":0.3110978488269505,"score_spread":0.2930689010105588,"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."}}