{"id":"W2770212951","doi":"10.1097/jfn.0000000000000180","title":"Pet Peeves and Other Annoyances: An Editor’s Perspective","year":2017,"lang":"en","type":"article","venue":"Journal of Forensic Nursing","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Perspective (graphical); Forensic nursing; Psychology; Psychoanalysis; Medicine; Forensic science; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009338515,0.00068335,0.001364736,0.001495223,0.003969661,0.008269365,0.002512177,0.01917075,0.0102614],"category_scores_gemma":[0.08041334,0.0005784343,0.0008860273,0.001250244,0.003254755,0.00836688,0.002531452,0.01973561,0.002529384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748662,"about_ca_system_score_gemma":0.007015203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003691323,"about_ca_topic_score_gemma":0.01162675,"domain_scores_codex":[0.9946074,0.001681736,0.001079792,0.0005635596,0.001586368,0.0004811457],"domain_scores_gemma":[0.9384663,0.03057002,0.003353625,0.001063687,0.01968011,0.00686624],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003139317,0.00004528193,0.001108243,0.0004493377,0.00002304993,0.002552221,0.0008246701,0.00006235031,0.0000656654,0.003688019,0.9395325,0.05161738],"study_design_scores_gemma":[0.00002144075,0.00003696844,0.0009048074,0.002867447,0.00002960887,0.004887347,0.003382257,0.0000594038,0.00005481728,0.002570859,0.9851429,0.00004218962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007690753,0.0428516,0.0002097934,0.7940763,0.1545241,0.00001113575,0.00005037645,0.00002096383,0.007486624],"genre_scores_gemma":[0.01341766,0.07571884,0.0006267123,0.4230215,0.4783015,0.00002860435,0.00005001658,0.00006475837,0.008770553],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9906615,"threshold_uncertainty_score":0.0493874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021795495994179,"score_gpt":0.3575017555690936,"score_spread":0.3372838006091519,"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."}}