{"id":"W2765953427","doi":"10.3390/jpm7040013","title":"Immortalized Muscle Cell Model to Test the Exon Skipping Efficacy for Duchenne Muscular Dystrophy","year":2017,"lang":"en","type":"review","venue":"Journal of Personalized Medicine","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Alberta","funders":"","keywords":"Exon skipping; Duchenne muscular dystrophy; Dystrophin; Exon; Muscular dystrophy; mdx mouse; Muscle disorder; Medicine; Bioinformatics; Computational biology; Biology; Genetics; Gene; Internal medicine; Alternative splicing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001044866,0.000491932,0.001784662,0.0001522927,0.0002916325,0.00002535732,0.000957239,0.0003903397,0.00004557045],"category_scores_gemma":[0.002215997,0.0002833303,0.001226133,0.00009437568,0.0002672973,0.000007545433,0.0001158762,0.0004307708,0.000004951505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003882593,"about_ca_system_score_gemma":0.0005225463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009712225,"about_ca_topic_score_gemma":0.000004284182,"domain_scores_codex":[0.9977714,0.0001451413,0.0009325123,0.0004275971,0.0003152315,0.0004081421],"domain_scores_gemma":[0.9969811,0.000284492,0.001395081,0.0007302642,0.0003448944,0.0002641311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002292065,0.001583174,0.00000417309,0.01884792,0.00315472,0.0001125613,0.001421065,0.0008240286,0.06437104,0.0002069464,0.07658,0.8306023],"study_design_scores_gemma":[0.003539162,0.001364041,0.000006212607,0.003060334,0.001617221,0.00005203294,0.0001004285,0.00006436218,0.00004007309,0.00005560622,0.9897906,0.0003099472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001315387,0.9927759,0.003436278,0.0006376568,0.000503566,0.0009916712,0.00005096798,0.000005133308,0.00028343],"genre_scores_gemma":[0.001751642,0.9932153,0.0009409615,0.0005174534,0.002283447,0.00008002379,0.0001414629,0.00007989441,0.0009897635],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9132106,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010692436115436,"score_gpt":0.4001248110085661,"score_spread":0.2990555673970225,"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."}}