{"id":"W4318141619","doi":"10.1002/gepi.22514","title":"Study of effect modifiers of genetically predicted CETP reduction","year":2023,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; Fondation Institut de Cardiologie de Montréal; Canada Research Chairs; Génome Québec; Canadian Institutes of Health Research; Genome Canada; Université de Montréal; Institut de Valorisation des Données; Institut de Cardiologie de Montréal; Pfizer","keywords":"Body mass index; Biobank; Cholesterylester transfer protein; Cholesterol; Internal medicine; Endocrinology; Biology; Lipoprotein; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002265214,0.000244381,0.0008434193,0.0001990417,0.00007050419,0.000001382877,0.0003346776,0.0004267304,0.00002295592],"category_scores_gemma":[0.003177489,0.0002239685,0.0001931336,0.0004199577,0.0002808499,0.000001626623,0.0002091992,0.0001385332,0.000015223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001533068,"about_ca_system_score_gemma":0.00007940397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182659,"about_ca_topic_score_gemma":0.00002312033,"domain_scores_codex":[0.9956173,0.001842477,0.001218104,0.0006298168,0.0001376693,0.0005545996],"domain_scores_gemma":[0.9979215,0.0004738272,0.0005528269,0.0007426333,0.0001855307,0.0001236816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002415709,0.0003148899,0.7447321,0.00007169183,0.0005264733,0.000003798016,0.0003456374,0.03580972,0.1970129,0.00008618536,0.008746848,0.01210823],"study_design_scores_gemma":[0.001623192,0.006226155,0.9803946,0.0000127423,0.0001572884,0.00002995737,0.0005683571,0.001910405,0.007001965,0.001202818,0.0006171749,0.0002553225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954113,0.0004162697,0.002502907,0.0001880584,0.0004287649,0.0006633892,0.00004012912,0.00003329483,0.0003158596],"genre_scores_gemma":[0.9944889,0.0004508149,0.004245102,0.00006288013,0.0002054466,0.0001169007,0.0001856579,0.00003153958,0.0002127923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2356625,"threshold_uncertainty_score":0.913317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0314092969464136,"score_gpt":0.3227697754309027,"score_spread":0.2913604784844891,"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."}}