{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004748952,0.0001238792,0.0002517321,0.00004529142,0.00003441033,0.00001166763,0.00003601453,0.00006542845,0.0001130202],"category_scores_gemma":[0.0001776031,0.0001066165,0.00005977249,0.00008943455,0.00006162055,0.00003649247,0.00003986582,0.0001116463,0.00002711887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003751181,"about_ca_system_score_gemma":0.00007626286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004951755,"about_ca_topic_score_gemma":0.000001110561,"domain_scores_codex":[0.9992226,0.00006377871,0.0002148308,0.0002820643,0.00005876652,0.0001579705],"domain_scores_gemma":[0.9994715,0.00001902705,0.00004878378,0.0001076172,0.00002075262,0.0003322847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001144762,0.000380895,0.9178364,0.0001514339,0.0002077758,0.02698453,0.0007911001,0.00009299063,0.0407257,0.007940535,0.0001183536,0.003625528],"study_design_scores_gemma":[0.004478677,0.0007948047,0.9752402,0.00006346241,0.0004568218,0.001047715,0.0002546337,0.01025312,0.001238369,0.005508965,0.0003501606,0.0003130222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947205,0.002345691,0.00002476702,0.001567855,0.00005380416,0.0002808849,0.0000220367,0.00001886048,0.0009656121],"genre_scores_gemma":[0.9980838,0.00008285968,0.001072884,0.0004040526,0.0000450709,0.00001915123,0.00020175,0.00001738379,0.00007310139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05740386,"threshold_uncertainty_score":0.4347695,"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."}}