{"id":"W4383956258","doi":"10.24018/ejmed.2023.5.4.1731","title":"Systolic Indices of Cardiac Contractility: Modeling and Analysis using Pressure-Volume Loop","year":2023,"lang":"en","type":"article","venue":"European Journal of Medical and Health Sciences","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Preload; Contractility; Cardiology; Cardiac catheterization; Internal medicine; Medicine; Hemodynamics; Blood pressure; Inferior vena cava; Diastole","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":[0.00972796,0.00006724234,0.0004807788,0.0003279825,0.0001620528,0.00002329272,0.0001149927,0.00002558219,0.00001321069],"category_scores_gemma":[0.0001612833,0.00004413885,0.00007217365,0.0005773364,0.0002584454,0.00007669246,0.00003514442,0.0002321762,5.846783e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000947538,"about_ca_system_score_gemma":0.0003224123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676746,"about_ca_topic_score_gemma":0.000001763512,"domain_scores_codex":[0.9979854,0.0002777898,0.000520842,0.0001345677,0.000886937,0.0001945207],"domain_scores_gemma":[0.9990467,0.00007982535,0.0002872566,0.0000644213,0.00007614963,0.0004456279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001868174,0.000183195,0.599748,0.001742964,0.001679487,0.0003595738,0.006740066,0.003534656,0.0004752899,0.0001683031,0.0002399466,0.3849417],"study_design_scores_gemma":[0.0007411584,0.0007332888,0.2297135,0.001120631,0.0004478956,0.0001909272,0.001697406,0.7638949,0.00001198643,0.00004091732,0.001318296,0.00008901516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856808,0.008919954,0.001043288,0.003977336,0.0002135214,0.00005103784,0.000002679796,0.000009291157,0.0001021079],"genre_scores_gemma":[0.9931206,0.006039457,0.0004069009,0.0001527496,0.0002455545,1.07316e-7,4.969136e-7,0.00000437444,0.00002977965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7603603,"threshold_uncertainty_score":0.3371536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09088942698104015,"score_gpt":0.3910193128978176,"score_spread":0.3001298859167775,"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."}}