{"id":"W4394429392","doi":"10.6084/m9.figshare.22601213","title":"Additional file 22 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis","year":2023,"lang":"en","type":"dataset","venue":"Discovery Research Portal (University of Dundee)","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; Meta-analysis; Evolutionary biology; Phenotype; Zoology; Internal medicine; 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":[0.0003488519,0.0003082376,0.001089394,0.0003329508,0.0003416992,0.00002636861,0.0006097886,0.0003303189,0.03170159],"category_scores_gemma":[0.0002763582,0.0003180037,0.000766486,0.0006275575,0.0008062962,0.00002919123,0.001869129,0.0003603512,0.00002968401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001733736,"about_ca_system_score_gemma":0.0002213878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275574,"about_ca_topic_score_gemma":0.006416599,"domain_scores_codex":[0.9974692,0.0001868354,0.0003189277,0.0008795217,0.0006888748,0.0004566693],"domain_scores_gemma":[0.9980111,0.0003108161,0.0004868009,0.0007884811,0.0002859438,0.000116927],"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":[0.00005349421,0.0001789314,0.00003770151,0.0001467754,0.0421337,0.00004260569,0.00001502987,0.000007751441,0.003177005,0.00002565867,0.9541572,0.00002417258],"study_design_scores_gemma":[0.0005752201,0.0004796231,0.002573489,0.00001530833,0.02268081,0.00001645885,0.001910005,0.00001380533,0.0005466117,0.00005071276,0.9706129,0.0005250315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005873485,0.002999307,0.00003519543,0.00004719948,0.00002359091,0.0002245259,0.9906412,0.000005951185,0.0001495028],"genre_scores_gemma":[0.0006653845,0.005890265,0.0009662638,0.0000118321,0.0001017895,0.00001382104,0.9850836,0.00002091653,0.007246093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03167191,"threshold_uncertainty_score":0.9999272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090065860860686,"score_gpt":0.3323689783386381,"score_spread":0.2233623922525695,"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."}}