{"id":"W2062345374","doi":"10.1139/apnm-2014-0568","title":"Influence of ageing and essential amino acids on quantitative patterns of troponin T alternative splicing in human skeletal muscle","year":2015,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; National Institutes of Health","keywords":"Ageing; Sarcopenia; Skeletal muscle; Vastus lateralis muscle; Troponin; Alternative splicing; Troponin T; Muscle biopsy; Biology; Internal medicine; Endocrinology; Amino acid; Ingestion; Muscle contraction; Myosin; Biochemistry; Gene isoform; Medicine; Biopsy; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002665272,0.0001747823,0.0001620593,0.0002047746,0.00007716626,0.0001431174,0.00006527264,0.0001344226,0.000579665],"category_scores_gemma":[0.0003398635,0.00009668629,0.0001426414,0.0001209895,0.0001990292,0.00008130173,0.0001168923,0.0001242162,0.00008883323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009957589,"about_ca_system_score_gemma":0.00007941209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003891015,"about_ca_topic_score_gemma":0.0006081582,"domain_scores_codex":[0.9998434,0.00006604824,0.00001826931,0.00003486008,0.00002636217,0.00001114073],"domain_scores_gemma":[0.9997948,0.00005337132,0.00007294438,0.00002049289,0.0000219933,0.00003634072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001921217,0.00005281594,0.006570643,0.00003624873,0.00002630666,0.00009437627,0.00005648583,0.00003705201,0.9885967,0.00002739707,0.0000144041,0.002566408],"study_design_scores_gemma":[0.00009425795,0.004539089,0.6325164,0.00001961646,0.0001372718,0.001128119,0.0001474657,0.0007537843,0.3592541,0.000212661,0.001178979,0.00001829478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987394,0.0006562597,0.0003468536,0.00001392439,0.000004123846,0.000004298071,0.00004892756,0.000003631952,0.000182493],"genre_scores_gemma":[0.9986969,0.0003059,0.0004974115,0.00002792282,0.00000417579,0.00001042821,0.0001139453,0.000005006911,0.0003383514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000579665,"threshold_uncertainty_score":0.001939118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211821709517514,"score_gpt":0.2749149029115783,"score_spread":0.2627966858164032,"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."}}