{"id":"W2916107572","doi":"10.1097/jfn.0000000000000219","title":"Journal of Forensic Nursing 2017 Articles of the Year","year":2018,"lang":"en","type":"article","venue":"Journal of Forensic Nursing","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Forensic nursing; Forensic science; Medicine; Psychology; Nursing; Medical education; Veterinary medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001639697,0.0001050895,0.0004868154,0.0001837933,0.0001188313,0.000007628762,0.0001446883,0.0001169188,0.00005558141],"category_scores_gemma":[0.0006841645,0.00006501134,0.0003850586,0.0001758595,0.000794153,0.0001757658,0.000009364966,0.0004479212,0.000003600007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204271,"about_ca_system_score_gemma":0.0002024129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002234673,"about_ca_topic_score_gemma":0.000002110657,"domain_scores_codex":[0.9982621,0.0002058249,0.0009093949,0.00007017758,0.0003378218,0.0002146924],"domain_scores_gemma":[0.997259,0.0001381017,0.001498223,0.0001975983,0.0008101661,0.0000968747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005289753,0.0007220075,0.04749387,0.0001098533,0.0006286961,0.00008271291,0.00789113,0.00003760172,0.09569587,0.004419968,0.1659561,0.6716724],"study_design_scores_gemma":[0.005577368,0.006733546,0.4305051,0.0233269,0.002477463,0.01445235,0.003951956,0.0003801129,0.3553061,0.1555766,0.001442562,0.0002699397],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869097,0.000874874,0.002517528,0.00398133,0.003283585,0.00008449345,0.000001218854,0.000003011324,0.002344283],"genre_scores_gemma":[0.9883132,0.00003501535,0.009785436,0.0001753184,0.001565957,7.609506e-8,3.280325e-7,0.00001190421,0.0001127393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6714025,"threshold_uncertainty_score":0.292609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03930448241504707,"score_gpt":0.3537766752901332,"score_spread":0.3144721928750862,"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."}}