{"id":"W2793801532","doi":"10.1002/jcu.22591","title":"Doppler Renal Resistance Index for the Prediction of Response to Passive Leg‐Raising Following Cardiac Surgery","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Ultrasound","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Centre Hospitalier de l’Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Intensive care unit; Cardiac index; Critically ill; Prospective cohort study; Cardiac surgery; Vascular resistance; Single Center; Cardiology; Cardiac output; Internal medicine; Surgery; Hemodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006962424,0.0001159203,0.0007478936,0.0001006696,0.0001643978,0.00003062421,0.0001240896,0.0001489571,0.00001575635],"category_scores_gemma":[0.01425332,0.00007347017,0.0008868932,0.0002056187,0.0001457711,0.00009163769,0.00001085234,0.0003815056,0.000001928056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006364522,"about_ca_system_score_gemma":0.0004309794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007631224,"about_ca_topic_score_gemma":0.000003902239,"domain_scores_codex":[0.9973245,0.0003446584,0.001434293,0.000160378,0.000523285,0.0002129336],"domain_scores_gemma":[0.981756,0.01646947,0.0006797522,0.0002969813,0.0005858817,0.0002119623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1026597,0.0006408053,0.605894,0.0001234072,0.003957658,0.00008880496,0.001814168,0.00005528296,0.1017425,0.00004520613,0.1253487,0.05762978],"study_design_scores_gemma":[0.002906251,0.002483379,0.7480451,0.001490783,0.000552046,0.00009155384,0.0003406298,0.00005271918,0.006239885,0.0006311602,0.2370088,0.0001577018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732077,0.0002602841,0.02022599,0.00178452,0.004085856,0.0002541463,0.00002931417,0.00001037832,0.0001418107],"genre_scores_gemma":[0.992312,0.0001660647,0.001649451,0.000248173,0.0047478,0.000005201561,0.000001625803,0.00002213712,0.0008475049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421511,"threshold_uncertainty_score":0.99405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946941472255269,"score_gpt":0.3993279913312407,"score_spread":0.329858576608688,"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."}}