{"id":"W4394360058","doi":"10.6084/m9.figshare.22601000","title":"Additional file 5 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004491632,0.0004448281,0.001186237,0.0002814376,0.0007373719,0.00009314088,0.0004414668,0.0005131127,0.007799809],"category_scores_gemma":[0.0005509227,0.0003529475,0.000496525,0.0005036433,0.000729714,0.00001016872,0.001618466,0.0005277149,0.00002295723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568468,"about_ca_system_score_gemma":0.0001832439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006667368,"about_ca_topic_score_gemma":0.00003782514,"domain_scores_codex":[0.9964575,0.0003570897,0.0006250453,0.001255062,0.0006908385,0.000614511],"domain_scores_gemma":[0.9974515,0.00057555,0.0004681991,0.0009275145,0.0003929566,0.0001842951],"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":[0.00003036362,0.0001191502,0.00002086307,0.0003209671,0.02829855,0.00002811114,0.0000101363,0.000001809505,0.04323602,0.000007706966,0.9278798,0.00004649877],"study_design_scores_gemma":[0.0002453839,0.0003325949,0.000490969,0.00001776811,0.009424865,0.00005110051,0.0001428413,0.00001738594,0.04548699,0.00001270544,0.9434007,0.0003766282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002556345,0.01644137,0.000004446632,0.00007275685,0.00006655909,0.0004117388,0.9803551,0.00001264548,0.00007899535],"genre_scores_gemma":[0.0001233187,0.006965281,0.00208887,0.00002634276,0.000713481,0.001076733,0.9795771,0.00004357611,0.009385333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01887368,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004900814405612,"score_gpt":0.3540041942296704,"score_spread":0.2535141127891092,"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."}}