{"id":"W2889651729","doi":"10.1053/j.jvca.2018.08.112","title":"Influence of diastolic function parameters in predicting fluid responsiveness in cardiac surgery","year":2018,"lang":"en","type":"article","venue":"Journal of Cardiothoracic and Vascular Anesthesia","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Diastolic function; Cardiology; Diastole; Internal medicine; Doppler echocardiography; Doppler imaging; Doppler effect; Ventricular filling; Blood pressure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247239,0.0004396411,0.0006329206,0.000526636,0.0003053035,0.001085332,0.0002860056,0.0006396393,0.0007693227],"category_scores_gemma":[0.006528317,0.0001919394,0.0005181835,0.0003780192,0.0004099399,0.0004578084,0.0003804675,0.001263429,0.0002294273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455075,"about_ca_system_score_gemma":0.0004800148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007018944,"about_ca_topic_score_gemma":0.0009069921,"domain_scores_codex":[0.9993037,0.0002787715,0.0001157151,0.00007827079,0.0001253423,0.00009821786],"domain_scores_gemma":[0.9950535,0.002971654,0.0006695464,0.0002390667,0.000256052,0.0008102307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001295454,0.0001815595,0.9911444,0.00002153907,0.0001377316,0.0001938912,0.00008216356,0.0002611192,0.0009880567,0.00004326166,0.00009796082,0.005552934],"study_design_scores_gemma":[0.00002282074,0.0008570995,0.9955647,0.00002285943,0.0001452012,0.0003233825,0.0002365028,0.001845563,0.0005724138,0.0001078107,0.000285558,0.00001614259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977469,0.0008663028,0.000270131,0.0001223138,0.00004349813,0.000007122904,0.00007200605,0.000007540819,0.0008640919],"genre_scores_gemma":[0.9994385,0.0001536526,0.0001204033,0.0000456352,0.00004429253,0.000004787669,0.0000719126,0.000003246303,0.0001176298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001247239,"threshold_uncertainty_score":0.006596148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323113063479873,"score_gpt":0.2594709150278697,"score_spread":0.246239784393071,"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."}}