{"id":"W3082667831","doi":"10.1007/978-1-0716-0771-8_5","title":"Development of Antisense Oligonucleotide Gapmers for the Treatment of Dyslipidemia and Lipodystrophy","year":2020,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Muscular Dystrophy Canada; Women and Children’s Health Research Institute; University of Alberta","funders":"","keywords":"Antisense therapy; Lipodystrophy; Spinal muscular atrophy; Exon skipping; Medicine; Genetics; Bioinformatics; Biology; Exon; Oligonucleotide; Alternative splicing; Gene","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":[0.0005164657,0.001123225,0.001504616,0.00162635,0.0001789634,0.000678323,0.0008134301,0.0008119994,0.002034184],"category_scores_gemma":[0.0003673091,0.0003423442,0.000487848,0.001232227,0.0003908698,0.000782581,0.0005122073,0.002127205,0.001433314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820595,"about_ca_system_score_gemma":0.0004834595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006054358,"about_ca_topic_score_gemma":0.001060896,"domain_scores_codex":[0.9998745,0.00001815706,0.00001692461,0.00002407014,0.00004822256,0.00001808094],"domain_scores_gemma":[0.9998796,0.00005463073,0.00002288841,0.000003925416,0.00002545279,0.00001341034],"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":[0.0002078803,0.0001815912,0.0001064002,0.009807848,0.0001454862,0.0002580294,0.00004736756,0.0005432102,0.01589961,0.00367473,0.01205768,0.9570702],"study_design_scores_gemma":[0.0002578444,0.0006773293,0.001273737,0.002286247,0.0004433811,0.002080533,0.00004581088,0.0004534335,0.01001015,0.003123492,0.9792834,0.00006477805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004654563,0.9977545,0.0006158096,0.0001067728,0.0001876133,0.00001209361,0.000025979,0.00002013908,0.0008116003],"genre_scores_gemma":[0.002069781,0.9959394,0.0007550115,0.0002279503,0.0001068455,0.00001955212,0.00007830333,0.000003915914,0.000799238],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002034184,"threshold_uncertainty_score":0.006805062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0717840578029925,"score_gpt":0.4590337268444173,"score_spread":0.3872496690414248,"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."}}