{"id":"W4394335794","doi":"10.6084/m9.figshare.22601285","title":"Additional file 33 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; Meta-analysis; Computational biology; Phenotype; Bioinformatics; 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":[0.00190965,0.001548468,0.001889102,0.002306349,0.0009569456,0.002076706,0.002802174,0.002154542,0.4426441],"category_scores_gemma":[0.01548209,0.0007013933,0.001676463,0.004095469,0.000461576,0.001299246,0.001494784,0.001341339,0.06411706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099419,"about_ca_system_score_gemma":0.002158813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259651,"about_ca_topic_score_gemma":0.02491983,"domain_scores_codex":[0.9991622,0.000144502,0.0001304011,0.0003181465,0.0001164188,0.0001283619],"domain_scores_gemma":[0.9915341,0.005913705,0.0006381021,0.00076504,0.0007461432,0.0004030307],"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":[0.0003732138,0.00007806433,0.006729185,0.00486363,0.0002803505,0.0001326733,0.00007129909,0.0006455263,0.0003607364,0.0007854259,0.9814817,0.004198261],"study_design_scores_gemma":[0.008777804,0.0002528373,0.04667316,0.00448603,0.00108373,0.0008234231,0.0003670845,0.002057124,0.001398829,0.009996818,0.9238923,0.000190896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001005372,0.00002094866,0.00006493601,0.00003054694,0.000006486257,0.00001312838,0.9995536,0.00008204337,0.0001276805],"genre_scores_gemma":[0.002179623,0.00007116543,0.0009248821,0.0001916624,0.0000190301,0.0004228424,0.9949103,0.0001564416,0.001124152],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4426441,"threshold_uncertainty_score":0.7950006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042454047351866,"score_gpt":0.3573925951474911,"score_spread":0.2531471904123045,"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."}}