{"id":"W4394142190","doi":"10.6084/m9.figshare.22601258","title":"Additional file 28 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis","year":2023,"lang":"en","type":"dataset","venue":"UWA Profiles and Research Repository (UWA)","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Children's Hospital of Eastern Ontario; University of Toronto; University of Ottawa; Université de Montréal; Université Laval; Ottawa Hospital; Montreal Heart Institute","funders":"","keywords":"Sexual dimorphism; Pleiotropy; Biology; Genetics; Gene; Evolutionary biology; Computational biology; Phenotype; Zoology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002243347,0.001390051,0.001832225,0.001951005,0.0009074883,0.001886269,0.002685223,0.001965174,0.5120099],"category_scores_gemma":[0.02344473,0.0007024596,0.001700424,0.003844612,0.0003766102,0.001324131,0.001246701,0.00127478,0.05431182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104606,"about_ca_system_score_gemma":0.00214241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294057,"about_ca_topic_score_gemma":0.02303946,"domain_scores_codex":[0.9991195,0.0001805107,0.0001560633,0.0003007888,0.0001204295,0.0001227616],"domain_scores_gemma":[0.9864228,0.01017037,0.0008983206,0.001049929,0.00103262,0.0004259637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0004514003,0.00009184064,0.008329966,0.004731333,0.00037434,0.0001367534,0.00007759008,0.0006667762,0.0002108385,0.0008771272,0.97893,0.005121917],"study_design_scores_gemma":[0.01461959,0.0003823045,0.07659135,0.006726932,0.001969931,0.001263669,0.0004972931,0.003131417,0.001317691,0.01517702,0.878079,0.0002438233],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000153615,0.00002561586,0.00009398727,0.00004794896,0.000008844284,0.00001995014,0.9994177,0.00006999904,0.000162428],"genre_scores_gemma":[0.005201802,0.0001215923,0.00158587,0.0003167432,0.00004267849,0.000914194,0.9894331,0.0002420741,0.002141979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5120099,"threshold_uncertainty_score":0.6960586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014667184324892,"score_gpt":0.3557504914370153,"score_spread":0.2542837730045261,"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."}}