{"id":"W2916101236","doi":"10.3390/jcm8020266","title":"Genetic Variants in Antineutrophil Cytoplasmic Antibody-Associated Vasculitis: A Bayesian Approach and Systematic Review","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Center for Research Resources; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Vasculitis Clinical Research Consortium; Rare Diseases Clinical Research Network; National Institutes of Health; National Institute for Health and Care Research","keywords":"Medicine; Vasculitis; Anti-neutrophil cytoplasmic antibody; Genetic variants; Bayesian probability; Antibody; Immunology; Computational biology; Genetics; Gene; Pathology; Genotype; Artificial intelligence","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":[0.0107286,0.001244646,0.005561105,0.01941513,0.0004704372,0.001810253,0.001537741,0.001432787,0.00227745],"category_scores_gemma":[0.03064615,0.0009110664,0.007659061,0.01737538,0.000520176,0.001827902,0.001079425,0.0007947645,0.0002611714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705612,"about_ca_system_score_gemma":0.007159856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005694519,"about_ca_topic_score_gemma":0.0126719,"domain_scores_codex":[0.9930714,0.002858672,0.002209987,0.0006720952,0.001033067,0.000154832],"domain_scores_gemma":[0.9709976,0.02331983,0.002944458,0.0004533466,0.002047431,0.0002374002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004546389,0.00004586338,0.0113272,0.7755529,0.06089053,0.0006133422,0.0003342991,0.001692462,0.0006212773,0.002008558,0.005294376,0.1411646],"study_design_scores_gemma":[0.0005695706,0.0004175883,0.03515602,0.4554904,0.4398883,0.002017354,0.0004747468,0.003074014,0.000545196,0.006102052,0.05606517,0.0001997273],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002243301,0.9932919,0.001844339,0.0006501037,0.0001147379,0.0002579185,0.001218464,0.00001601412,0.0003632832],"genre_scores_gemma":[0.04150204,0.9516148,0.004481233,0.0005129375,0.0002248556,0.0006127961,0.0008942581,0.00001050906,0.0001466352],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01941513,"threshold_uncertainty_score":0.05673891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180514974364678,"score_gpt":0.3465585563212066,"score_spread":0.3247534065775599,"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."}}