{"id":"W4394360986","doi":"10.6084/m9.figshare.22601270","title":"Additional file 30 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; Gene; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002009169,0.001503191,0.001814929,0.002190506,0.0009409968,0.002038189,0.002704412,0.002044471,0.4517883],"category_scores_gemma":[0.01639224,0.0006750874,0.001576156,0.00392114,0.0004210769,0.001312156,0.001389916,0.001285144,0.06742688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084325,"about_ca_system_score_gemma":0.00218603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343313,"about_ca_topic_score_gemma":0.02581932,"domain_scores_codex":[0.9991865,0.0001481215,0.0001231498,0.00030556,0.0001198854,0.0001168934],"domain_scores_gemma":[0.9907866,0.006688833,0.000575056,0.0008013301,0.0007974738,0.0003506217],"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":[0.0003265781,0.00007955883,0.006554381,0.004584228,0.0002555072,0.0001256308,0.00007713262,0.0006757221,0.0003288624,0.0008012698,0.9818549,0.004336191],"study_design_scores_gemma":[0.007344085,0.0002095073,0.04589301,0.003715747,0.0009315659,0.0007092413,0.0003700724,0.00226202,0.001342008,0.009969375,0.927075,0.0001784763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001070059,0.00002028015,0.0000750612,0.00003178964,0.000006846798,0.00001329302,0.9995071,0.00009186574,0.0001466871],"genre_scores_gemma":[0.002488018,0.00007031234,0.001110387,0.000182459,0.00001792135,0.0004396104,0.9942999,0.0001970716,0.001194378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4517883,"threshold_uncertainty_score":0.7819575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017616408751323,"score_gpt":0.3562211744809187,"score_spread":0.2544595336057864,"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."}}