{"id":"W4309592763","doi":"10.1136/bmjopen-2022-065429","title":"Automated digital technologies for supporting sepsis prediction in children: a scoping review protocol","year":2022,"lang":"en","type":"review","venue":"BMJ Open","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"University of Waterloo","keywords":"Medicine; CINAHL; Protocol (science); Scopus; Data extraction; MEDLINE; Clinical decision support system; Interoperability; Data science; Decision support system; Alternative medicine; Data mining; Computer science; Nursing; World Wide Web; Pathology; Psychological intervention","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1229076,0.005026267,0.01103821,0.0202718,0.005414228,0.008984355,0.006253035,0.01119219,0.08502364],"category_scores_gemma":[0.1357372,0.005770891,0.01142762,0.014774,0.006284968,0.01146194,0.008170893,0.007259123,0.02088428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01511094,"about_ca_system_score_gemma":0.09810506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00547095,"about_ca_topic_score_gemma":0.01055116,"domain_scores_codex":[0.9474034,0.02086079,0.01888126,0.00365283,0.006627338,0.002574318],"domain_scores_gemma":[0.9114354,0.03006112,0.01457926,0.0082183,0.03111302,0.004592899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005887997,0.0005262184,0.001227733,0.8249715,0.001079655,0.001212415,0.006912317,0.001509034,0.00227715,0.01072472,0.06689945,0.07677183],"study_design_scores_gemma":[0.01146146,0.001605395,0.005946777,0.6542554,0.002887824,0.0008354425,0.005519605,0.0009759915,0.002041005,0.01090812,0.3030892,0.0004737441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0002721723,0.001149209,0.001115953,0.0005272286,0.0002106882,0.9926512,0.003313747,0.00006469777,0.0006951668],"genre_scores_gemma":[0.0002248948,0.0008684353,0.002381985,0.0002079191,0.00002606715,0.9954981,0.0005046887,0.00000702144,0.000281007],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1229076,"threshold_uncertainty_score":0.650005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2653522049456987,"score_gpt":0.5468850849321117,"score_spread":0.2815328799864131,"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."}}