{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007034725,0.0002133598,0.0005035136,0.0002392774,0.00004832945,0.00001719955,0.000121724,0.0001770478,0.000003089105],"category_scores_gemma":[0.0009470574,0.0001915461,0.0001315608,0.0002219431,0.000088021,0.00008935557,0.00004527521,0.0003896787,0.00000195928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340454,"about_ca_system_score_gemma":0.00001352294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001913128,"about_ca_topic_score_gemma":0.00001350644,"domain_scores_codex":[0.9978229,0.00005832413,0.0006336619,0.0003685684,0.0004967527,0.000619734],"domain_scores_gemma":[0.9986166,0.0001446304,0.0001511154,0.0002969516,0.0005238049,0.0002669106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002853514,0.0005574716,0.8535252,0.00003257122,0.000158384,0.00008380732,0.0001687367,0.000005425367,0.003489984,0.000002152174,0.00008657629,0.1416044],"study_design_scores_gemma":[0.002831304,0.0002525502,0.9611691,0.0002741024,0.000162219,0.000008071965,0.0001341075,0.0001832439,0.03473135,0.00001367141,0.00008866983,0.000151619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979936,0.00007169163,0.0002054976,0.0002874106,0.0003981062,0.0006507346,0.00001387947,0.00007213931,0.0003068748],"genre_scores_gemma":[0.9986289,0.00004021786,0.0004533037,0.0001238177,0.0002693225,0.0001160689,0.00002321257,0.00003706854,0.0003081105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1414528,"threshold_uncertainty_score":0.7811023,"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."}}