{"id":"W1568196896","doi":"10.1038/ejhg.2015.162","title":"Increased genetic risk for obesity in premature coronary artery disease","year":2015,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heart Research Centre; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Mendelian randomization; Body mass index; Odds ratio; Internal medicine; Coronary artery disease; Population; Medicine; Obesity; Genetics; Biology; Genetic variants; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002046107,0.0003956628,0.0004119351,0.0008357526,0.0003482895,0.0005031315,0.0003986221,0.0008213432,0.00157477],"category_scores_gemma":[0.005049775,0.0002771727,0.0006570059,0.0008114123,0.0006563437,0.0001903467,0.000566914,0.0008301518,0.000185045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138333,"about_ca_system_score_gemma":0.0002763096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008596145,"about_ca_topic_score_gemma":0.001073394,"domain_scores_codex":[0.998698,0.0008102899,0.00006545674,0.000186765,0.0001588947,0.00008056124],"domain_scores_gemma":[0.9980406,0.0007086297,0.0006210729,0.0003192152,0.0001035479,0.0002070385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009083592,0.00006220691,0.9831547,0.00003803865,0.0004324449,0.0009867554,0.0001621124,0.000411621,0.005580511,0.0006403115,0.0001451465,0.007477922],"study_design_scores_gemma":[0.0000469365,0.0002491076,0.9943731,0.00001850917,0.0001725765,0.002092871,0.00005922978,0.001267553,0.0002253459,0.001223492,0.0002564109,0.00001481743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996451,0.001072077,0.001391068,0.0002303438,0.00001695195,0.00001642809,0.00007869085,0.00002283474,0.0007205714],"genre_scores_gemma":[0.9983475,0.0002972294,0.001023802,0.00005028908,0.00004622609,0.000007958512,0.00006111086,0.000006832727,0.0001591769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002046107,"threshold_uncertainty_score":0.01082098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157373656438995,"score_gpt":0.2601349860192297,"score_spread":0.2385612494548398,"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."}}