{"id":"W2421568985","doi":"","title":"Predicting episodes of hypotension by continuous blood volume monitoring among critically ill patients in acute renal failure on intermittent hemodialysis.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alexandra Hospital","funders":"","keywords":"Medicine; Hemodialysis; Critically ill; Blood pressure; Blood volume; Prospective cohort study; Incidence (geometry); Intravascular volume status; Anesthesia; Mean arterial pressure; Intensive care medicine; Acute kidney injury; Internal medicine; Cardiology; Heart rate","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":[0.000687982,0.0002540835,0.0003303262,0.0004656765,0.000262553,0.000442482,0.0001876632,0.0004389983,0.0005572875],"category_scores_gemma":[0.004731153,0.0001823442,0.0002840146,0.0004161421,0.0002086013,0.0003966705,0.0002925199,0.0006660663,0.00007978782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952405,"about_ca_system_score_gemma":0.0003150201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081103,"about_ca_topic_score_gemma":0.001265844,"domain_scores_codex":[0.999536,0.0001462114,0.00006881558,0.00006595461,0.000111957,0.00007092516],"domain_scores_gemma":[0.9961157,0.001418371,0.001577876,0.00009758544,0.0002336782,0.0005567892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008210442,0.00001790592,0.9991599,0.000003475325,0.000008933161,0.00002963289,0.00001787831,0.0000203221,0.0000952655,0.000002439727,0.00001731373,0.0005449206],"study_design_scores_gemma":[0.00001032061,0.0004215805,0.9983886,0.000005947007,0.00001911825,0.0003234125,0.0000699943,0.0005635365,0.0001234935,0.00001755937,0.00005294574,0.000003403686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995627,0.0001101438,0.0001102373,0.00002694939,0.000003559679,0.000006206812,0.00005420386,0.000002023708,0.0001239641],"genre_scores_gemma":[0.9997879,0.00003136714,0.00008824476,0.00000928016,0.000007251699,0.0000034958,0.00006185001,3.909151e-7,0.00001020483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081103,"threshold_uncertainty_score":0.003638446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007331162819728781,"score_gpt":0.2232361160721929,"score_spread":0.2159049532524641,"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."}}