{"id":"W4210686526","doi":"10.1002/jcsm.12903","title":"MicroRNA regulatory networks associated with abnormal muscle repair in survivors of critical illness","year":2022,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Canada Research Chairs; University Health Network; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; University of Alberta; Physicians' Services Incorporated Foundation; Canadian Thoracic Society","keywords":"Transcriptome; Wasting; microRNA; Muscle atrophy; Muscle weakness; Sarcopenia; Biology; Weakness; C2C12; Skeletal muscle; Gene expression; Internal medicine; Bioinformatics; Medicine; Gene; Endocrinology; Genetics; Anatomy; Myogenesis","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":[0.0001126849,0.0001621229,0.0001769041,0.0002687159,0.0001432338,0.0001967493,0.00007002272,0.0001406452,0.001014136],"category_scores_gemma":[0.0003090002,0.0001056855,0.0001510578,0.0001985532,0.0001077234,0.00007264109,0.0001404686,0.0001453442,0.000205837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434748,"about_ca_system_score_gemma":0.0001097337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002912506,"about_ca_topic_score_gemma":0.0004572067,"domain_scores_codex":[0.9999005,0.00001708857,0.000006695784,0.00003506788,0.0000222732,0.00001839469],"domain_scores_gemma":[0.9998068,0.00005352932,0.00009344515,0.000006899442,0.00001966691,0.00001962306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001420596,0.0000649759,0.1203839,0.0002224526,0.00009101922,0.0005688691,0.000319848,0.0008852077,0.8613051,0.0003600371,0.0006133661,0.01376473],"study_design_scores_gemma":[0.00003300293,0.0006659941,0.9003707,0.00004044722,0.0001583065,0.001767821,0.0003135422,0.005321709,0.08769114,0.0004651535,0.00315243,0.00001984919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968792,0.0009556058,0.001066676,0.00005006632,0.000006445656,0.000008971842,0.0004938582,0.00002933154,0.0005097582],"genre_scores_gemma":[0.9968984,0.0002815916,0.001349588,0.00005760192,0.000006063196,0.0000348239,0.0008538531,0.000008513916,0.0005095826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001014136,"threshold_uncertainty_score":0.003392637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006040797321139185,"score_gpt":0.2276659498484133,"score_spread":0.2216251525272741,"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."}}