{"id":"W3035286545","doi":"10.1016/j.ophtha.2020.06.020","title":"Integrating Metabolomics, Genomics, and Disease Pathways in Age-Related Macular Degeneration","year":2020,"lang":"en","type":"article","venue":"Ophthalmology","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Public Health, Queen's University Belfast; Queen's University; Allergan; Erasmus Medisch Centrum; Sanofi; European Commission; Macula Foundation; Ionis Pharmaceuticals; Queen's University Belfast; University College London; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; F. Hoffmann-La Roche","keywords":"Macular degeneration; Medicine; Metabolomics; Genomics; Disease; Computational biology; Bioinformatics; Genetics; Ophthalmology; Genome; Pathology; Gene; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002038606,0.0006069659,0.0007147408,0.002057633,0.0003106703,0.001275783,0.0002308877,0.0003788468,0.001007076],"category_scores_gemma":[0.001815395,0.0002448861,0.0006496261,0.001978063,0.0003681173,0.0006945179,0.001047123,0.0003543139,0.0001106433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987327,"about_ca_system_score_gemma":0.0006577736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679606,"about_ca_topic_score_gemma":0.003561988,"domain_scores_codex":[0.9992731,0.000393534,0.00004083532,0.00013523,0.0000907512,0.00006652056],"domain_scores_gemma":[0.999163,0.0003321398,0.0003009601,0.00006946072,0.00007886906,0.00005548432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00142452,0.000305702,0.8036289,0.001091617,0.00234554,0.0007589678,0.0003560985,0.005799098,0.04665785,0.002518182,0.0006575389,0.134456],"study_design_scores_gemma":[0.00004154554,0.0003698569,0.9769859,0.0001296413,0.00067905,0.0009214556,0.0001828961,0.005713179,0.004640248,0.006324534,0.003979079,0.0000327023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425825,0.03793396,0.01490337,0.001392445,0.00004862457,0.00009484606,0.001149343,0.00009258209,0.001802351],"genre_scores_gemma":[0.9752151,0.008839321,0.01423523,0.0004529506,0.00007982407,0.00005193364,0.0005038475,0.00001439549,0.0006072941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002679606,"threshold_uncertainty_score":0.01078135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380108031049588,"score_gpt":0.2767914362429215,"score_spread":0.2429903559324256,"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."}}