{"id":"W3093277853","doi":"10.2196/24899","title":"Use and Evaluation of Computerized Clinical Decision Support Systems for Early Detection of Sepsis in Hospitals: Protocol for a Scoping Review","year":2020,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Clinical decision support system; Systematic review; Health care; Medicine; Sepsis; Inclusion (mineral); Electronic database; MEDLINE; Decision support system; Medical emergency; Computer science; Psychology; Alternative medicine; Data mining; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1072853,0.005895947,0.01350756,0.01498364,0.005267944,0.009453103,0.005982689,0.009193494,0.05312225],"category_scores_gemma":[0.1223857,0.00570121,0.01661036,0.01465217,0.005402727,0.007634117,0.006759652,0.006517406,0.01129741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01630924,"about_ca_system_score_gemma":0.08222865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928725,"about_ca_topic_score_gemma":0.009673226,"domain_scores_codex":[0.9347596,0.02364622,0.02786221,0.003654351,0.007515165,0.00256238],"domain_scores_gemma":[0.9224113,0.0228206,0.01572051,0.005931837,0.03047123,0.002644565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.008823442,0.000815291,0.001425145,0.8670262,0.002404134,0.001079739,0.004812041,0.001855703,0.002757489,0.007190548,0.04300621,0.05880415],"study_design_scores_gemma":[0.02334853,0.004129736,0.007803768,0.6322187,0.009151149,0.0009706297,0.004370742,0.001884845,0.004001367,0.009543936,0.3018699,0.0007067774],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002662744,0.0008985425,0.001048249,0.0002262716,0.0001685467,0.99507,0.001905715,0.00004033491,0.0003759864],"genre_scores_gemma":[0.0002261211,0.0007491807,0.002634571,0.00009727909,0.00002076607,0.9956456,0.0004655512,0.000005054158,0.0001559313],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1072853,"threshold_uncertainty_score":0.5673854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8321567194156743,"score_gpt":0.7270427294908551,"score_spread":0.1051139899248191,"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."}}