{"id":"W3129355848","doi":"10.1161/circgen.120.003196","title":"System Genetics Including Causal Inference Identify Immune Targets for Coronary Artery Disease and the Lifespan","year":2021,"lang":"en","type":"article","venue":"Circulation Genomic and Precision Medicine","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Mendelian randomization; Genome-wide association study; Coronary artery disease; Biology; Disease; Immune system; Computational biology; Bioinformatics; Immunology; Genetics; Medicine; Gene; Internal medicine; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005661328,0.001014958,0.0009839883,0.001763454,0.0006905108,0.001416311,0.0008889341,0.00079057,0.005146169],"category_scores_gemma":[0.01012467,0.0004276979,0.00219315,0.001025432,0.001156391,0.0007961141,0.001389203,0.001133238,0.0002329463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394244,"about_ca_system_score_gemma":0.002958925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004720089,"about_ca_topic_score_gemma":0.004924295,"domain_scores_codex":[0.9973013,0.001435818,0.00009255071,0.0008181421,0.0002196488,0.0001325909],"domain_scores_gemma":[0.991397,0.007280196,0.0005910781,0.0003338241,0.0002220017,0.000176081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001828227,0.0003833667,0.3353123,0.001838602,0.005654104,0.002161514,0.0007744695,0.3206619,0.04185691,0.1508313,0.005788528,0.1329089],"study_design_scores_gemma":[0.0002958638,0.0003922889,0.0455706,0.0001098028,0.001911894,0.0006006928,0.0001472403,0.7089602,0.004681786,0.231263,0.005973431,0.00009312938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2509541,0.001539665,0.7357553,0.001660414,0.0001347741,0.0002979779,0.003958251,0.001654271,0.00404523],"genre_scores_gemma":[0.7903507,0.0006415173,0.2050847,0.0006450835,0.00007090896,0.0003711744,0.001644817,0.0001635021,0.001027457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005661328,"threshold_uncertainty_score":0.02994031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117795326019224,"score_gpt":0.2770809043900273,"score_spread":0.2459029511298351,"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."}}