{"id":"W2921012149","doi":"10.1097/ccm.0000000000003678","title":"Predicting Fluid Responsiveness: Time for Automation*","year":2019,"lang":"en","type":"letter","venue":"Critical Care Medicine","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Medicine; Agricultural science; Operations management; Management; Engineering; Economics; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004404155,0.0004408392,0.001142064,0.0002982978,0.0001355492,0.00002123898,0.0002026103,0.001047813,0.0004973776],"category_scores_gemma":[0.004975749,0.0003486037,0.0002362523,0.00016546,0.0003328914,0.00005131046,0.0000379173,0.001356142,0.000212936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094372,"about_ca_system_score_gemma":0.000403666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002239153,"about_ca_topic_score_gemma":2.100027e-7,"domain_scores_codex":[0.9971206,0.0001434439,0.0006007897,0.0006718772,0.000815365,0.0006479694],"domain_scores_gemma":[0.994543,0.003342038,0.00008156739,0.0007855409,0.00107584,0.0001720746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002783132,0.0000226121,0.0004083442,0.007128182,0.0001218788,0.0004855806,0.0006527111,9.211781e-7,0.001648395,0.0001047139,0.9847441,0.004404202],"study_design_scores_gemma":[0.002686528,0.002083037,0.0002213936,0.004573089,0.0008026243,0.0002065421,0.000402138,0.002237668,0.0002700485,0.0002455894,0.9858876,0.0003837315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003577728,0.003261856,0.00199458,0.9787122,0.004228299,0.001646346,0.0002062012,0.000495826,0.005876968],"genre_scores_gemma":[0.03075872,0.00005516352,0.002045614,0.8687394,0.06720764,0.0004146056,0.005115627,0.0003876773,0.02527559],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1099728,"threshold_uncertainty_score":0.9998966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227075566471053,"score_gpt":0.3386864253952432,"score_spread":0.3159788687481379,"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."}}