{"id":"W2940414628","doi":"10.1016/j.mrrev.2019.04.003","title":"Functional genomics applications and therapeutic implications in sarcopenia","year":2019,"lang":"en","type":"review","venue":"Mutation Research/Reviews in Mutation Research","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Héma-Québec","funders":"","keywords":"Sarcopenia; Functional genomics; Genomics; Proteomics; Epigenomics; Computational biology; Biology; Gene silencing; Bioinformatics; Gene; Genome; Gene expression; Genetics; DNA methylation","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":[0.001007609,0.00117598,0.001706147,0.002222513,0.0002096813,0.001295986,0.0008685403,0.001773571,0.003904217],"category_scores_gemma":[0.001174546,0.0003269874,0.000519838,0.001929085,0.0007455333,0.00110035,0.0009559517,0.00228931,0.001928969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006953775,"about_ca_system_score_gemma":0.0009747991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007871355,"about_ca_topic_score_gemma":0.001325935,"domain_scores_codex":[0.9997579,0.00004267207,0.00002936209,0.00004887248,0.00009028778,0.00003089232],"domain_scores_gemma":[0.9995559,0.0002869868,0.00003868396,0.00001202091,0.00007340995,0.00003300242],"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":[0.0001164021,0.00006322629,0.0001268146,0.008481435,0.00008076807,0.0002516025,0.00003354674,0.000519566,0.002394363,0.006507158,0.03588169,0.9455435],"study_design_scores_gemma":[0.00004463152,0.00009218598,0.0007813373,0.003678714,0.0001459649,0.001394979,0.00004828825,0.0001854445,0.000616553,0.005875995,0.9871098,0.00002620963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004689283,0.9986877,0.0001922478,0.0002431334,0.0002234846,0.000002506563,0.00001471828,0.000007133265,0.0005821704],"genre_scores_gemma":[0.0004082494,0.9981068,0.0003026883,0.0002949681,0.0002855717,0.000005881895,0.00003257357,0.000002115157,0.0005611302],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003904217,"threshold_uncertainty_score":0.01306093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2900921565427137,"score_gpt":0.501384779603196,"score_spread":0.2112926230604824,"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."}}