{"id":"W2975154347","doi":"10.2196/15358","title":"A Bayesian Network Analysis of the Diagnostic Process and its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Intensive care unit; Intensive care; Intensive care medicine; Observational study; Prospective cohort study; Emergency medicine; Cardiac index; Cardiac function curve; Cohort study; Cardiac output; Internal medicine; Heart failure; Hemodynamics","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":[0.0251018,0.0007948186,0.001078848,0.002162786,0.0008286886,0.001345912,0.001391447,0.001477776,0.002472143],"category_scores_gemma":[0.07833399,0.0007670796,0.00204901,0.001642193,0.000902074,0.001783461,0.001314142,0.001868971,0.00032978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107367,"about_ca_system_score_gemma":0.00115425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009676639,"about_ca_topic_score_gemma":0.004471544,"domain_scores_codex":[0.9878192,0.008177558,0.0007329833,0.001922561,0.0008325854,0.0005151374],"domain_scores_gemma":[0.9093769,0.06634236,0.01240332,0.007183301,0.002907771,0.001786418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001118482,0.0002862264,0.9915541,0.00003570912,0.0009137637,0.0001020005,0.0002593293,0.002435365,0.0001204081,0.0002397453,0.0002438335,0.002690963],"study_design_scores_gemma":[0.0002229863,0.001786668,0.8045842,0.00008563773,0.001319374,0.0006854798,0.0006533877,0.1878763,0.0002213781,0.001806154,0.0006707716,0.00008767241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906,0.0003559311,0.007757905,0.0001302047,0.00001476373,0.0001448842,0.0007266987,0.00001839522,0.0002513097],"genre_scores_gemma":[0.9967921,0.0001148387,0.002146887,0.00003173015,0.00001285389,0.00009100682,0.0007171661,0.000006940116,0.00008643908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0251018,"threshold_uncertainty_score":0.1327526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453934528130698,"score_gpt":0.3315691006693849,"score_spread":0.3170297553880779,"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."}}