{"id":"W3193078598","doi":"10.2196/28000","title":"A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Skånes universitetssjukhus; Uppsala Universitet","keywords":"Sepsis; Intensive care unit; Intensive care; Receiver operating characteristic; Machine learning; Medicine; Artificial intelligence; Intensive care medicine; Computer science; Algorithm; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005411042,0.0002637103,0.0006215357,0.0004549067,0.0003603103,0.00007977902,0.0001290054,0.0001335334,0.0001488251],"category_scores_gemma":[0.001203679,0.0002078743,0.0002581223,0.0009648313,0.0001862425,0.000379765,0.0002541761,0.0008001202,0.00001438655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004117855,"about_ca_system_score_gemma":0.0003419251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001998814,"about_ca_topic_score_gemma":0.00006218928,"domain_scores_codex":[0.9968707,0.0005559053,0.0005505951,0.0004754924,0.0009697828,0.0005775395],"domain_scores_gemma":[0.9900208,0.0008686762,0.0001547751,0.0004325614,0.008298149,0.0002250553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001173312,0.007313225,0.2697552,0.0009718885,0.003392518,0.0003896523,0.2559014,0.0001044856,0.0002847446,0.000159997,0.008390225,0.4521633],"study_design_scores_gemma":[0.0177736,0.02550993,0.1460449,0.001486972,0.0005397609,0.0000999944,0.6639702,0.02995807,0.1004786,0.000160848,0.0135002,0.0004769584],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986495,0.001820044,0.002034527,0.001109015,0.0002578355,0.006659455,0.0006690506,0.0001152946,0.0008398388],"genre_scores_gemma":[0.9949819,0.00007429293,0.001024661,0.0001198321,0.00008777285,0.001915131,0.0009735198,0.00004735935,0.000775509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4516863,"threshold_uncertainty_score":0.8476866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1898770488737731,"score_gpt":0.4587379969867527,"score_spread":0.2688609481129796,"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."}}