{"id":"W3044113668","doi":"10.3390/cells9081780","title":"Derivation and Characterization of Immortalized Human Muscle Satellite Cell Clones from Muscular Dystrophy Patients and Healthy Individuals","year":2020,"lang":"en","type":"article","venue":"Cells","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Ottawa Hospital; University of Ottawa","funders":"Université Claude Bernard Lyon 1; Seventh Framework Programme; Université Paris Descartes; Centre National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale","keywords":"Duchenne muscular dystrophy; Biology; Myogenesis; Myocyte; clone (Java method); Muscular dystrophy; Immortalised cell line; Skeletal muscle; Muscle disorder; Wasting; Dystrophin; Cell; mdx mouse; Stem cell; Cell culture; Cell biology; Gene; Genetics; Medicine; Internal medicine; Anatomy; Endocrinology","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":[0.0001972004,0.0001742068,0.0003028833,0.0004770281,0.000288141,0.0002244594,0.0001895776,0.0001899694,0.002628895],"category_scores_gemma":[0.0004446168,0.0001203333,0.0002702789,0.0003903928,0.0001431931,0.00009618291,0.0002286289,0.0002714917,0.001266661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127966,"about_ca_system_score_gemma":0.0001268277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004404906,"about_ca_topic_score_gemma":0.0006297235,"domain_scores_codex":[0.9998488,0.00001638715,0.00003649926,0.00003716594,0.00004074689,0.0000203942],"domain_scores_gemma":[0.9998212,0.0000424143,0.00001600353,0.00005727052,0.00003870412,0.00002434382],"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":[0.0002067608,0.0000709595,0.0129844,0.00006671924,0.00002523099,0.0009924714,0.0003665863,0.0001240143,0.9760583,0.000250078,0.0001883915,0.00866614],"study_design_scores_gemma":[0.000138971,0.002681093,0.3439074,0.00008540318,0.0002485627,0.03103367,0.0007230375,0.002172912,0.5775424,0.0003243347,0.04110803,0.00003410058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919394,0.000996767,0.003718706,0.00004150339,0.00002111356,0.0001380279,0.001629444,0.00004030645,0.001474718],"genre_scores_gemma":[0.9718113,0.001816359,0.009366763,0.0001204606,0.00003992833,0.000311559,0.01263909,0.00006785797,0.003826657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002628895,"threshold_uncertainty_score":0.008794546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007080398651708696,"score_gpt":0.2075736888654617,"score_spread":0.200493290213753,"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."}}