{"id":"W2500683163","doi":"10.1249/01.mss.0000486923.39242.9a","title":"Strength-Training Induces Skeletal Muscle Adaptations in Patients with Myotonic Dystrophy Type I","year":2016,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Myotonic dystrophy; Wasting; Skeletal muscle; Strength training; Muscle biopsy; Muscle strength; Medicine; Population; Muscle fibre; Internal medicine; Biopsy; Physical therapy; Physical medicine and rehabilitation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001810293,0.0003679417,0.0003346188,0.0002066622,0.0003390276,0.0001600608,0.0001312518,0.0003679081,0.001816748],"category_scores_gemma":[0.0004424936,0.00009935679,0.0002031684,0.0001605487,0.0001710363,0.0001165213,0.0001816454,0.0002909046,0.0002806262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211019,"about_ca_system_score_gemma":0.00008470759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005516213,"about_ca_topic_score_gemma":0.0008415935,"domain_scores_codex":[0.9998953,0.00002734051,0.00001016422,0.00002555435,0.00001679854,0.00002480301],"domain_scores_gemma":[0.9998617,0.00002381793,0.0000457509,0.000009334309,0.00001301374,0.00004636102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005591809,0.001826821,0.7651375,0.0002346121,0.0001620881,0.02158172,0.0007793892,0.0003837559,0.1654983,0.00006914972,0.0006647438,0.03807006],"study_design_scores_gemma":[0.00006893506,0.00400448,0.9796968,0.0000131691,0.00003304914,0.0120144,0.0001521937,0.0001671092,0.003349345,0.00002330701,0.0004720566,0.000005132523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992784,0.0001851355,0.00005441158,0.00002846663,0.000004143208,0.00001072514,0.00002218957,0.000006468931,0.0004101823],"genre_scores_gemma":[0.999513,0.0000658624,0.00007840674,0.00003331937,0.000007940343,0.000007478623,0.00006405465,0.000001436539,0.0002283705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001816748,"threshold_uncertainty_score":0.006077647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578997159019552,"score_gpt":0.2667478065785469,"score_spread":0.2409578349883513,"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."}}