{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002920049,0.00009377179,0.0001304678,0.0000154199,0.00005279154,0.000008230923,0.00004821293,0.00009652608,0.00001296303],"category_scores_gemma":[0.000007433572,0.00009519495,0.00002594133,0.00003678637,0.0000624919,0.000006053815,0.00005486937,0.00003466244,0.000001441821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001306402,"about_ca_system_score_gemma":0.000009091727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002091171,"about_ca_topic_score_gemma":0.000001533373,"domain_scores_codex":[0.9993948,0.00005217732,0.0001694868,0.0002384982,0.0000527179,0.00009228089],"domain_scores_gemma":[0.9996838,0.000005431264,0.0001183903,0.00009604678,0.00003271427,0.00006361008],"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":[0.00005793756,0.00004554696,0.02099377,0.00005252336,0.00001475268,1.339447e-7,0.0002056934,0.000001052738,0.9772707,0.000007247542,0.00001800021,0.0013327],"study_design_scores_gemma":[0.001039706,0.0003178153,0.5362133,0.000004372921,0.00001724684,2.865858e-8,0.00003284903,0.000009863978,0.4605215,0.00004795393,0.001695974,0.00009945843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991547,0.0003229648,0.0001274691,0.00006702574,0.00003639069,0.0001659188,0.00007763258,0.000005369705,0.00004256147],"genre_scores_gemma":[0.9972769,0.0005593718,0.000124112,0.0005386947,0.00004747842,0.000005345267,0.001432818,0.00001045224,0.000004809799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5167492,"threshold_uncertainty_score":0.3881937,"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."}}