{"id":"W4394378487","doi":"10.6084/m9.figshare.22601024","title":"Additional file 7 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; Meta-analysis; Genetics; Gene; Evolutionary biology; Computational biology; Phenotype; Zoology; Medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004491563,0.0004448539,0.001186248,0.0002814532,0.0007373858,0.00009317983,0.000441506,0.0005131022,0.00771165],"category_scores_gemma":[0.0005462819,0.0003529754,0.0004965029,0.0005036464,0.0007298017,0.00001016974,0.001618567,0.0005277518,0.00002299614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568827,"about_ca_system_score_gemma":0.0001832915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006670692,"about_ca_topic_score_gemma":0.0000378389,"domain_scores_codex":[0.9964573,0.0003570216,0.0006250538,0.001255168,0.000690846,0.0006146012],"domain_scores_gemma":[0.9974517,0.0005752395,0.0004681859,0.0009275491,0.0003930052,0.0001843099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003035954,0.0001191523,0.00002084789,0.0003232351,0.02830138,0.00002811329,0.0000101473,0.000001811822,0.04331987,0.000007690787,0.9277907,0.00004670654],"study_design_scores_gemma":[0.0002451351,0.000332689,0.0004824052,0.00001788929,0.009415288,0.0000510391,0.0001426159,0.00001746173,0.04558896,0.00001274209,0.9433175,0.0003762891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002555673,0.01645149,0.000004451482,0.00007277739,0.00006656809,0.000411696,0.9803457,0.00001264565,0.00007899704],"genre_scores_gemma":[0.0001229311,0.006974211,0.002088016,0.00002633709,0.0007133926,0.001075699,0.9795712,0.00004357121,0.009384629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01888609,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005735106082996,"score_gpt":0.3540300559172929,"score_spread":0.2534565453089933,"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."}}