{"id":"W4221024616","doi":"10.51731/cjht.2022.283","title":"Artificial Intelligence for the Prediction of Sepsis in Adults","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horizon; Data science; Focus (optics); Computer science; Artificial intelligence; Intervention (counseling); Information technology; Emerging technologies; Decision support system; Knowledge management; Medicine; Nursing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003905402,0.0005935653,0.0007628615,0.003773412,0.000287146,0.001985024,0.0006481017,0.0008735221,0.006525243],"category_scores_gemma":[0.02687085,0.000194761,0.0008153718,0.002560927,0.0003201038,0.001029209,0.0005608388,0.001770997,0.001900103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952045,"about_ca_system_score_gemma":0.004257014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05119151,"about_ca_topic_score_gemma":0.05137891,"domain_scores_codex":[0.9982736,0.0006809325,0.0001570289,0.0001232569,0.0006863935,0.00007875077],"domain_scores_gemma":[0.9930624,0.004648633,0.0005549238,0.0001641683,0.001367496,0.0002022733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006977009,0.0001791109,0.03917192,0.002337368,0.0007332009,0.0001986467,0.00007283637,0.01272182,0.0003814047,0.009367542,0.141875,0.7922634],"study_design_scores_gemma":[0.0005806875,0.001549723,0.1790785,0.01959961,0.002425053,0.001390412,0.0007059756,0.2668408,0.003614258,0.108232,0.4155768,0.0004060415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03320038,0.7123464,0.05589781,0.09194236,0.00474329,0.0007700217,0.02458588,0.001593601,0.07492019],"genre_scores_gemma":[0.4228822,0.4400564,0.0899286,0.01250366,0.003948138,0.0007136027,0.01534488,0.0002094314,0.01441317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05119151,"threshold_uncertainty_score":0.1017871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396070954475354,"score_gpt":0.3522876855848396,"score_spread":0.2126805901373042,"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."}}