{"id":"W4241180517","doi":"10.1097/01.sa.0000422215.59743.dd","title":"Poor Accuracy of Noninvasive Cardiac Output Monitoring Using Bioimpedance Cardiography [PhysioFlow®] Compared to Magnetic Resonance Imaging in Pediatric Patients","year":2012,"lang":"en","type":"article","venue":"Survey of Anesthesiology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Impedance cardiography; Magnetic resonance imaging; Cardiology; Cardiac magnetic resonance; Cardiac magnetic resonance imaging; Cardiac imaging; Internal medicine; Radiology; Stroke volume; Ejection fraction; Heart failure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683277,0.0002221912,0.0008693715,0.0004759523,0.00003798151,0.000003344659,0.0001642157,0.00009824581,0.00000212794],"category_scores_gemma":[0.0004346127,0.0002139218,0.0001548219,0.0008067108,0.00009410515,0.00008577621,0.00004891704,0.0001605846,0.000004216421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006258639,"about_ca_system_score_gemma":0.0001034498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720737,"about_ca_topic_score_gemma":0.0000064462,"domain_scores_codex":[0.9978566,0.0005065731,0.0005476995,0.0003046661,0.0002574423,0.0005270385],"domain_scores_gemma":[0.9983094,0.0005818084,0.000218695,0.0003957626,0.0003272049,0.0001671281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003181948,0.000179892,0.9731328,0.00008568797,0.00001321302,0.000006173545,0.0004720805,0.00004750498,0.002709669,9.076645e-7,0.000013762,0.02302008],"study_design_scores_gemma":[0.0008461762,0.0002430138,0.9958423,0.0001418227,0.00004092755,0.000003890804,0.0000701397,0.00006288839,0.002509838,0.000003325513,0.00006381407,0.0001718891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905709,0.008239744,0.00001593427,0.00001146773,0.0006744538,0.0004032517,0.00003256318,0.00001987094,0.00003178699],"genre_scores_gemma":[0.998211,0.000335414,0.001095457,0.0000210756,0.0002623336,0.0000140635,0.00001997227,0.00003350267,0.000007161668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02284819,"threshold_uncertainty_score":0.8723478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328353206329108,"score_gpt":0.2981523406120677,"score_spread":0.2648688085487766,"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."}}