{"id":"W3019335622","doi":"10.1097/aco.0000000000000850","title":"State of the art in clinical decision support applications in pediatric perioperative medicine","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Anaesthesiology","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Clinical decision support system; Leverage (statistics); Decision support system; Health care; Clinical decision making; Computer science; Medicine; Data science; Medical emergency; Intensive care medicine; Artificial intelligence","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":[0.003324246,0.0008555129,0.001976786,0.003259576,0.000376223,0.002097405,0.001509123,0.002006452,0.005042392],"category_scores_gemma":[0.0116617,0.0004581672,0.001460729,0.003902079,0.0006899093,0.002460468,0.00124141,0.002221919,0.002043866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009131491,"about_ca_system_score_gemma":0.00474397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772809,"about_ca_topic_score_gemma":0.00233093,"domain_scores_codex":[0.9985305,0.0003867667,0.0003163925,0.0001887429,0.0004929975,0.00008449577],"domain_scores_gemma":[0.9868017,0.01001587,0.0008543506,0.0001788642,0.001915166,0.0002340581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005663636,0.00004363982,0.0002301251,0.05934047,0.0001913631,0.00007302261,0.0001064251,0.0004204075,0.0003224043,0.002382962,0.02127291,0.9155596],"study_design_scores_gemma":[0.00003960108,0.0001585496,0.001376164,0.06825119,0.0007509664,0.0007599465,0.0001702363,0.0003873576,0.0003825324,0.003092735,0.9245771,0.00005355574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007991376,0.9980547,0.0002852149,0.0006675252,0.0002567205,0.00001496071,0.00003787436,0.00001413055,0.0005888887],"genre_scores_gemma":[0.0006713559,0.997993,0.0004901459,0.0004003535,0.0002582062,0.000020972,0.00004890815,0.000003677853,0.0001134727],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005042392,"threshold_uncertainty_score":0.01758045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2480165629594159,"score_gpt":0.5013147932618759,"score_spread":0.25329823030246,"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."}}