{"id":"W2126535953","doi":"10.1007/s00439-011-1040-7","title":"Molecular genetic studies of gene identification for sarcopenia","year":2011,"lang":"en","type":"review","venue":"Human Genetics","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; University of Shanghai for Science and Technology","keywords":"Biology; Human genetics; Genetics; Gene; Identification (biology); Molecular medicine; Computational biology; Sarcopenia; Molecular genetics; Evolutionary biology; Endocrinology; Cell cycle","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001951319,0.001719631,0.002262467,0.002984947,0.0003488949,0.00115046,0.002003496,0.002094178,0.002415087],"category_scores_gemma":[0.002734082,0.0005774659,0.0006486449,0.002580282,0.001549828,0.001534176,0.001131638,0.003191793,0.002153188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164823,"about_ca_system_score_gemma":0.001891712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249828,"about_ca_topic_score_gemma":0.003551535,"domain_scores_codex":[0.9995553,0.00006914082,0.00006509925,0.0001145633,0.0001619703,0.00003400079],"domain_scores_gemma":[0.9980323,0.001105969,0.0001484428,0.00006092219,0.0005257542,0.0001266255],"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":[0.0001213296,0.00009873135,0.0005112085,0.008893774,0.000144511,0.0004220316,0.0000502052,0.0006554091,0.002960232,0.006666338,0.06287735,0.9165989],"study_design_scores_gemma":[0.00005011456,0.00007774452,0.001538361,0.003043859,0.0002313061,0.001960186,0.00007052009,0.0002108253,0.00118828,0.005309726,0.9862721,0.00004705893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007883344,0.9975324,0.0006989176,0.0005109342,0.0004741589,0.000004673544,0.00002522933,0.00001055388,0.0006643691],"genre_scores_gemma":[0.000452545,0.9970639,0.0007264098,0.000459007,0.0005737104,0.00000967189,0.00005231906,0.000003088799,0.0006593426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002984947,"threshold_uncertainty_score":0.01031971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036889415025408,"score_gpt":0.3797835518832404,"score_spread":0.2760946103806996,"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."}}