{"id":"W2298476726","doi":"10.1371/journal.pone.0128074","title":"Dissecting Allele Architecture of Early Onset IBD Using High-Density Genotyping","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Hospital for Sick Children","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Crohn's and Colitis Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; Crohn's and Colitis Foundation of America","keywords":"Genotyping; Allele; Genetics; Genetic architecture; Biology; Genome-wide association study; Allele frequency; Genotype; Single-nucleotide polymorphism; Phenotype; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001856307,0.0002651142,0.0003433774,0.001167605,0.0002715603,0.0006054048,0.0004024384,0.0004857871,0.001184236],"category_scores_gemma":[0.00418079,0.0002039774,0.000366326,0.0008071328,0.0003222205,0.0001706346,0.000478773,0.0005108826,0.0002108873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557891,"about_ca_system_score_gemma":0.0001208337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052371,"about_ca_topic_score_gemma":0.001622349,"domain_scores_codex":[0.9985186,0.0006487852,0.000103162,0.0004123509,0.0001906038,0.0001264257],"domain_scores_gemma":[0.9950882,0.002901787,0.001072028,0.0005689771,0.0002164443,0.000152615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006404945,0.0001107603,0.9330848,0.0000545802,0.0004085306,0.0006037955,0.0003415799,0.001083577,0.04704539,0.0003347482,0.0001662645,0.01612539],"study_design_scores_gemma":[0.00001487039,0.0001414647,0.9941589,0.000007062213,0.0001298001,0.0008285398,0.00004818425,0.001878944,0.002208518,0.0001945291,0.0003810881,0.000008099547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941222,0.000180947,0.005093857,0.00001942961,0.000003824341,0.00001453319,0.0002048131,0.00002028039,0.0003401778],"genre_scores_gemma":[0.9976761,0.00004627383,0.001835069,0.00002521038,0.000004140069,0.00001719791,0.0002511927,0.000009971455,0.0001348308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001856307,"threshold_uncertainty_score":0.009817243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675245550335024,"score_gpt":0.2356457443312731,"score_spread":0.1988932888279228,"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."}}