{"id":"W2147146949","doi":"10.1186/cc13822","title":"Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients?","year":2014,"lang":"en","type":"article","venue":"Critical Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Sunnybrook Hospital; London Health Sciences Centre; University of Toronto; CARE Canada; University Health Network; University of Ottawa; Wilfrid Laurier University; Ottawa Hospital","funders":"National Institute of General Medical Sciences; Dartmouth College; Providence Health Care; Canadian Institutes of Health Research; Medical School, University of Michigan; Intermountain Healthcare","keywords":"Medicine; Heart rate variability; Receiver operating characteristic; Capnography; Logistic regression; Respiratory rate; Ventilation (architecture); Spontaneous breathing trial; Observational study; Mechanical ventilation; Emergency medicine; Cardiology; Internal medicine; Heart rate; Anesthesia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002911123,0.0007160368,0.00089505,0.0005294684,0.0001756045,0.0008704384,0.000525533,0.000762861,0.001167475],"category_scores_gemma":[0.01439529,0.0002110083,0.0006343848,0.0005246884,0.0003094758,0.0006867147,0.0004481697,0.0007728118,0.0003344791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724097,"about_ca_system_score_gemma":0.0003494466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000641921,"about_ca_topic_score_gemma":0.0007965508,"domain_scores_codex":[0.998877,0.0004886633,0.0001336536,0.0002445283,0.0001794841,0.00007679703],"domain_scores_gemma":[0.9917545,0.004703812,0.002039947,0.0004121978,0.0005578041,0.0005316985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005789964,0.00007407545,0.9863246,0.00003965416,0.0002020243,0.00002864065,0.00002638591,0.0005721676,0.0002201489,0.00001155591,0.0001478794,0.01177379],"study_design_scores_gemma":[0.00004146715,0.0007977315,0.9909797,0.00004064474,0.0001354401,0.0001169206,0.00005993971,0.007223645,0.0002904667,0.0001512697,0.0001509781,0.00001190786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959776,0.001489832,0.001315611,0.0004118298,0.00003697917,0.00001445455,0.000383577,0.00002797053,0.0003423318],"genre_scores_gemma":[0.9987545,0.0002533882,0.0005339544,0.00005341065,0.00005209041,0.00001014447,0.0002902767,0.000004111296,0.00004797878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002911123,"threshold_uncertainty_score":0.01539564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190756216259199,"score_gpt":0.2998211396023435,"score_spread":0.2807455179764236,"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."}}