{"id":"W4394234496","doi":"10.6084/m9.figshare.22601249","title":"Additional file 27 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; 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":[0.0005076065,0.000456326,0.001214867,0.0002874143,0.0007034689,0.00009663147,0.0004545375,0.0005245265,0.003592625],"category_scores_gemma":[0.0004662361,0.0003622024,0.0005061951,0.0005058328,0.0007388028,0.00001073096,0.001632816,0.0005408592,0.00002277979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002673353,"about_ca_system_score_gemma":0.0001818335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007347505,"about_ca_topic_score_gemma":0.0000428428,"domain_scores_codex":[0.9963597,0.0003700201,0.0006460747,0.001282917,0.0007111549,0.0006301014],"domain_scores_gemma":[0.9975121,0.0004745431,0.0004726711,0.0009495279,0.0004018112,0.0001893509],"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":[0.00003262611,0.0001245118,0.0000330046,0.0003353304,0.02799486,0.00002877104,0.00001119332,0.000002251123,0.06202627,0.00001011667,0.9093642,0.00003686222],"study_design_scores_gemma":[0.0002853652,0.0003574373,0.0004892256,0.00001722546,0.01029815,0.00005400228,0.0001540316,0.00001820984,0.06160374,0.00001515171,0.9263082,0.0003993008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00418879,0.01985771,0.000005974618,0.00008601226,0.00009581009,0.0004342592,0.9752442,0.00001284889,0.00007438435],"genre_scores_gemma":[0.0001866865,0.009257921,0.001979199,0.00002775006,0.0007597355,0.0007634067,0.9766573,0.00004592362,0.01032206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0176967,"threshold_uncertainty_score":0.999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011832636172532,"score_gpt":0.355679202816613,"score_spread":0.2544959391993598,"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."}}