{"id":"W2924805899","doi":"","title":"Disentangling the genetics of lean mass","year":2019,"lang":"en","type":"article","venue":"Pure Amsterdam UMC","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Lean body mass; Single-nucleotide polymorphism; Bioelectrical impedance analysis; Genome-wide association study; Locus (genetics); Biology; Allele; Genetics; Genetic association; Genetic architecture; Quantitative trait locus; Body mass index; Genotype; Body weight; Endocrinology; 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":[0.001937173,0.0007103643,0.0004815588,0.001289682,0.0003229278,0.0007509291,0.000556537,0.0004141331,0.002232053],"category_scores_gemma":[0.003443248,0.0002195965,0.0007176429,0.001324343,0.000583707,0.0003503344,0.0008868669,0.0005791431,0.0001770837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891129,"about_ca_system_score_gemma":0.000406152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002141154,"about_ca_topic_score_gemma":0.002873151,"domain_scores_codex":[0.9990863,0.0003467035,0.0000818141,0.0002867439,0.000126308,0.00007207493],"domain_scores_gemma":[0.9972587,0.001636754,0.0005497165,0.0002816202,0.0001020785,0.0001710679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008940136,0.00005087724,0.9524703,0.0001227696,0.00146791,0.0008522646,0.0003166941,0.001398208,0.01513495,0.0008737736,0.0001882972,0.02622996],"study_design_scores_gemma":[0.00009618262,0.0003474365,0.9824874,0.00006755582,0.0009033617,0.001793773,0.0001587593,0.005017075,0.003534538,0.003899684,0.001672181,0.00002200293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918348,0.001116246,0.006048799,0.0001302377,0.00001682841,0.00001350123,0.0003297006,0.00003215486,0.0004779273],"genre_scores_gemma":[0.9964942,0.0002949922,0.002622669,0.00005090953,0.0000269199,0.00001777743,0.0002643895,0.00001591689,0.0002121491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002232053,"threshold_uncertainty_score":0.01024485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006254553092028074,"score_gpt":0.2286706754060131,"score_spread":0.222416122313985,"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."}}