{"id":"W6977189704","doi":"10.6084/m9.figshare.22600970.v1","title":"Additional file 2 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université Laval; Montreal Heart Institute","funders":"","keywords":"Sexual dimorphism; Single-nucleotide polymorphism; Gene; Genotype; Population; Table (database); Allele frequency","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":["insufficient_payload"],"category_scores_codex":[0.00002188431,0.0003807237,0.0008842902,0.0001171146,0.0001011777,0.00004426414,0.0003416496,0.0002775608,0.9316782],"category_scores_gemma":[0.0003342362,0.0003665098,0.0004100158,0.0005689208,0.00001998452,0.0001227836,0.0002291419,0.0003140942,0.002107733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004738595,"about_ca_system_score_gemma":0.00004139444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009435671,"about_ca_topic_score_gemma":0.0005371221,"domain_scores_codex":[0.9984121,0.00002936115,0.0004306346,0.0004596953,0.000275013,0.0003931695],"domain_scores_gemma":[0.9983845,0.000641485,0.000226951,0.0005663736,0.00007033271,0.0001103299],"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":[0.000001133322,0.00002267375,5.195746e-7,0.0002672136,0.0182898,0.00001495735,0.000003970822,0.0006192263,0.00003128256,7.243148e-8,0.9807068,0.00004236035],"study_design_scores_gemma":[0.0001104741,0.00002329914,0.0001183621,0.00004295763,0.01095495,0.000007107611,0.000005514775,0.001566779,0.0002077533,8.994889e-7,0.9866079,0.0003540156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001004587,0.001760136,6.948415e-7,0.000004836908,0.00001525313,0.0001455232,0.9979269,0.000124507,0.00001213735],"genre_scores_gemma":[0.00000974553,0.00004449975,0.0003917807,0.00003286589,0.0002056776,0.00158405,0.9974709,0.00005340953,0.0002070401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9295705,"threshold_uncertainty_score":0.9998787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103814592687722,"score_gpt":0.2813451138307976,"score_spread":0.1775305211430756,"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."}}