{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006349511,0.0008636251,0.0007559031,0.0009569283,0.0004121647,0.0008720958,0.0005867928,0.001009096,0.002781391],"category_scores_gemma":[0.01730953,0.0002755183,0.00188077,0.0009262043,0.0006867517,0.0005671408,0.0005807636,0.001346167,0.0002183407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329555,"about_ca_system_score_gemma":0.0005154804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543741,"about_ca_topic_score_gemma":0.002821452,"domain_scores_codex":[0.9958032,0.002408454,0.0001830413,0.00109268,0.0003451719,0.0001674927],"domain_scores_gemma":[0.9812462,0.01342912,0.00232266,0.002389894,0.000361707,0.0002505221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002607598,0.0001833155,0.952288,0.0001504681,0.008366558,0.0004403731,0.0002625983,0.001259723,0.01136673,0.002234326,0.0003875036,0.02045283],"study_design_scores_gemma":[0.0001037019,0.0006613641,0.9844163,0.00002849672,0.003058569,0.0003434457,0.00006520956,0.003394088,0.003724202,0.002612232,0.001569428,0.00002292028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672317,0.003417127,0.02286896,0.001119703,0.0001678025,0.0001013766,0.002327961,0.0001576534,0.002607669],"genre_scores_gemma":[0.9939066,0.0002878968,0.004495412,0.0002367391,0.00006196581,0.00005325957,0.0003363521,0.00004032335,0.0005815193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006349511,"threshold_uncertainty_score":0.03357989,"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."}}