{"id":"W3169418231","doi":"10.1111/iwj.13623","title":"Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing","year":2021,"lang":"en","type":"article","venue":"International Wound Journal","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Nursing Research","keywords":"Medicine; Wound care; Retrospective cohort study; Emergency medicine; Intensive care medicine; Minimum Data Set; Vocabulary; Medical emergency; Internal medicine; Nursing; Nursing homes","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":[],"consensus_categories":[],"category_scores_codex":[0.005218157,0.0003241437,0.0003229789,0.003043907,0.0003488807,0.001053132,0.0004748792,0.0003958108,0.000725476],"category_scores_gemma":[0.01999595,0.0001788313,0.0006066854,0.001381117,0.0003806761,0.0008585132,0.0006065025,0.0004261467,0.0001714598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005346949,"about_ca_system_score_gemma":0.000886719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003748374,"about_ca_topic_score_gemma":0.004587155,"domain_scores_codex":[0.9966735,0.001473366,0.0006579437,0.0005837708,0.0005100648,0.0001013924],"domain_scores_gemma":[0.9786718,0.01350548,0.005020413,0.0008468953,0.001751368,0.0002040052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002304512,0.0004093542,0.9476101,0.0004494936,0.0001104709,0.0003774917,0.001974843,0.00118682,0.003629695,0.0002622348,0.0005351533,0.04322397],"study_design_scores_gemma":[0.0000342932,0.0006830591,0.9716727,0.0001725458,0.0001152078,0.0009994534,0.002386199,0.01726385,0.003845919,0.001092962,0.0016712,0.0000626455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817228,0.0002077736,0.01440665,0.0001568271,0.00001359813,0.0005023342,0.002320534,0.0000694117,0.0006001416],"genre_scores_gemma":[0.9570292,0.0001687726,0.03853606,0.0001284962,0.00001944871,0.0006336305,0.003248372,0.00001115107,0.0002249953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005218157,"threshold_uncertainty_score":0.02759659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07522147792953031,"score_gpt":0.3889308932506665,"score_spread":0.3137094153211362,"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."}}