{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0005948641,0.0001192039,0.0003260263,0.00008343798,0.00003596219,0.00001436451,0.00003587734,0.0001521834,0.00009558239],"category_scores_gemma":[0.009986565,0.0001029616,0.00006019217,0.00007545477,0.0001543187,0.0001250061,0.00003487469,0.0001672735,0.000004473055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005398308,"about_ca_system_score_gemma":0.00006207317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004984426,"about_ca_topic_score_gemma":0.000002391869,"domain_scores_codex":[0.9986831,0.0001826489,0.0003967346,0.0003080935,0.0002233141,0.0002061204],"domain_scores_gemma":[0.9977961,0.0003200712,0.00002244351,0.0002762751,0.001399757,0.0001853665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001215975,0.0002465102,0.951261,0.0008508748,0.000006205934,0.000003545789,0.000308368,1.82411e-7,0.02487796,0.01216937,0.00005838741,0.010096],"study_design_scores_gemma":[0.002021608,0.002146342,0.9747181,0.00009610808,0.00008244881,0.000001357188,0.0007409103,0.0001183368,0.01226483,0.003664511,0.004009404,0.0001360402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995137,0.00005163246,0.00103886,0.0005368729,0.0002852328,0.0003829119,0.00005998295,0.00003429816,0.00247318],"genre_scores_gemma":[0.9963496,7.806565e-7,0.0005798119,0.002926089,0.00006446126,0.0000285764,0.00002098865,0.00001360054,0.00001608586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0234571,"threshold_uncertainty_score":0.9983528,"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."}}