{"id":"W2105435914","doi":"10.1186/gm28","title":"Gene-gene and gene-environment interactions: new insights into the prevention, detection and management of coronary artery disease","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Ontario Genomics Institute; Genome Canada; Heart and Stroke Foundation of Canada; Ontario Genomics; Pfizer","keywords":"Genome-wide association study; Gene; Computational biology; Genetic association; Genetics; Human genetics; Biology; Bioinformatics; Single-nucleotide polymorphism; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001635465,0.0001098935,0.0001348819,0.0000388725,0.000102212,0.000003344011,0.0000689853,0.00004474369,0.00001657823],"category_scores_gemma":[0.00001711442,0.00007946216,0.00002974786,0.00004401044,0.00009759198,0.000003560639,0.00006471935,0.00004617793,0.000001930806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001890788,"about_ca_system_score_gemma":0.00001422431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000149923,"about_ca_topic_score_gemma":0.0000161552,"domain_scores_codex":[0.9992371,0.00007003192,0.0002500983,0.0002481119,0.00008048258,0.0001142145],"domain_scores_gemma":[0.9995139,0.00001144214,0.0001130297,0.0002391397,0.00001918924,0.0001032845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001800803,0.0001097435,0.006146689,0.00003858456,0.0003253868,0.00001075144,0.0008497773,0.0003317346,0.8669833,0.00005588345,0.0004448407,0.1245233],"study_design_scores_gemma":[0.0009285264,0.0007236964,0.9701017,0.00002292545,0.0001971582,0.00003628827,0.0003007496,0.0001116093,0.005386638,0.003206169,0.01884792,0.0001366604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673769,0.01690458,0.01325909,0.002014075,0.00008786689,0.000271823,0.000001895759,0.000004227109,0.00007951637],"genre_scores_gemma":[0.9786476,0.01837859,0.001438617,0.000416033,0.0002123071,0.00001819793,0.00007875611,0.000006525985,0.0008033648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.963955,"threshold_uncertainty_score":0.3240373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033244264628357,"score_gpt":0.2449625814844681,"score_spread":0.2346301388381845,"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."}}