{"id":"W2729909209","doi":"10.1213/ane.0000000000002232","title":"Skeletal Muscle Metabolic Dysfunction in Patients With Malignant Hyperthermia Susceptibility","year":2017,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Canadian Institutes of Health Research","keywords":"Medicine; Malignant hyperthermia; Anaerobic exercise; Exercise intolerance; Skeletal muscle; Internal medicine; Aerobic capacity; Anaerobic glycolysis; Aerobic exercise; Population; VO2 max; Magnetic resonance imaging; Muscle weakness; Endocrinology; Physiology; Anesthesia; Metabolism; Blood pressure; Glycolysis; Radiology; Heart failure","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":[0.0001857423,0.0003728594,0.0003158802,0.000535166,0.0003303794,0.0002919089,0.0001584998,0.0003504092,0.001298837],"category_scores_gemma":[0.0009003699,0.000132813,0.0001820235,0.0003064543,0.0002866753,0.0001806067,0.0002931695,0.0001840227,0.0001714558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214303,"about_ca_system_score_gemma":0.00008251541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002963852,"about_ca_topic_score_gemma":0.0003475495,"domain_scores_codex":[0.9998795,0.00003155761,0.00001732906,0.00002905289,0.00002290287,0.00001968227],"domain_scores_gemma":[0.9996982,0.00005868962,0.0001469887,0.00001204316,0.00002430395,0.00005983884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003471172,0.00006998372,0.9886122,0.00003066751,0.00003856996,0.002901644,0.0002027582,0.00005960936,0.005420207,0.00003457864,0.00006576394,0.002216931],"study_design_scores_gemma":[0.00001249589,0.0004085523,0.9906538,0.000008799605,0.00002865306,0.007940664,0.0001886977,0.0001171421,0.0004926833,0.00004765499,0.00009687217,0.000004018358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999566,0.0001276067,0.00005412655,0.00002009771,0.000002184071,0.000004613591,0.00002544136,0.000001853282,0.0001980039],"genre_scores_gemma":[0.9998298,0.00004543365,0.00004517049,0.00001078566,0.000004283422,0.000003779425,0.00003154636,4.748191e-7,0.0000287071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001298837,"threshold_uncertainty_score":0.004345059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008259540635734869,"score_gpt":0.2175691353424991,"score_spread":0.2093095947067642,"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."}}