{"id":"W4248123634","doi":"10.1101/2021.09.09.21263362","title":"Study of effect modifiers of genetically predicted CETP reduction","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Pfizer; Institut de Cardiologie de Montréal; Institut de Valorisation des Données; Canadian Institutes of Health Research; Genome Canada; Université de Montréal","keywords":"Biobank; Body mass index; Cholesterol; Observational study; Medicine; Internal medicine; Bioinformatics; Endocrinology; Biology","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":[0.008311552,0.000731034,0.0007252421,0.0006429235,0.0002987185,0.0009307279,0.0006372238,0.001000251,0.005352894],"category_scores_gemma":[0.02227347,0.0002577768,0.001824804,0.0006306929,0.0007104151,0.0004322242,0.0005481179,0.001251175,0.0004145221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805272,"about_ca_system_score_gemma":0.000414837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251811,"about_ca_topic_score_gemma":0.001182962,"domain_scores_codex":[0.9957849,0.002677956,0.0001561767,0.000912529,0.00030864,0.0001596504],"domain_scores_gemma":[0.9801623,0.01432689,0.002055773,0.002902319,0.0002785644,0.0002742548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006872402,0.0003657299,0.9192574,0.0002909643,0.01288083,0.0007959072,0.0003374873,0.002494045,0.01793186,0.004223803,0.001801517,0.03274802],"study_design_scores_gemma":[0.000400051,0.001130443,0.9640357,0.00006295165,0.00500345,0.0005740388,0.00009196348,0.009006772,0.009962008,0.005926034,0.003765499,0.00004100626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677565,0.002390021,0.02139029,0.001142242,0.0001973402,0.0000770761,0.004222576,0.0002827668,0.002541164],"genre_scores_gemma":[0.9931585,0.0001504846,0.004628003,0.0002814342,0.00006357559,0.00005648795,0.0005391565,0.00006494671,0.001057376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008311552,"threshold_uncertainty_score":0.04395622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114662843152322,"score_gpt":0.2873898180725094,"score_spread":0.2662431896409862,"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."}}