{"id":"W2505151819","doi":"10.1016/j.ijmedinf.2016.06.012","title":"Understanding the use of standardized nursing terminology and classification systems in published research: A case study using the International Classification for Nursing Practice ®","year":2016,"lang":"en","type":"review","venue":"International Journal of Medical Informatics","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Nursing Outcomes Classification; Terminology; Nursing; Nursing research; Medicine; Nursing diagnosis; MEDLINE; Nursing Minimum Data Set; Nursing care; Health care; Team nursing; Pathology","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":[0.08085848,0.0007152982,0.001801676,0.02340264,0.001893997,0.009004063,0.002659532,0.002746192,0.001386229],"category_scores_gemma":[0.1892909,0.0005561326,0.001563371,0.02564565,0.004514875,0.01003854,0.004226716,0.002651924,0.0002440936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007228153,"about_ca_system_score_gemma":0.02240265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009998999,"about_ca_topic_score_gemma":0.0229909,"domain_scores_codex":[0.9104475,0.04140857,0.02409861,0.003261003,0.01977546,0.001008817],"domain_scores_gemma":[0.7691438,0.1853562,0.01833757,0.004151293,0.02232464,0.0006864374],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001157021,0.0001144103,0.02833639,0.05116914,0.0005221245,0.001959237,0.08651595,0.0004280201,0.001539888,0.03680397,0.01014405,0.7823511],"study_design_scores_gemma":[0.00005686491,0.0002793698,0.06245656,0.3513917,0.002954412,0.01290258,0.1522847,0.00192151,0.002256803,0.02901241,0.3841026,0.0003805699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0776355,0.8597763,0.02829258,0.0182872,0.00179753,0.001025728,0.0007663664,0.0000706369,0.01234804],"genre_scores_gemma":[0.299546,0.6116832,0.07999229,0.004575972,0.0005572916,0.001060239,0.001226417,0.0001351072,0.001223457],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9191415,"threshold_uncertainty_score":0.4276256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6278962877491844,"score_gpt":0.5600230553670242,"score_spread":0.06787323238216014,"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."}}