{"id":"W3096108635","doi":"10.1101/2020.11.03.367623","title":"Automated AI labelling of optic nerve head enables new insights into cross-ancestry glaucoma risk and genetic discovery in over 280,000 images from the UK Biobank and Canadian Longitudinal Study on Aging","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Institutes of Health; Moorfields Eye Charity; Moorfields Eye Hospital NHS Foundation Trust; Northwest Regional Development Agency; Canadian Institutes of Health Research; University of Queensland; Wellcome Trust; Ophthalmic Research Institute of Australia; Diabetes UK; Macula Society; National Institute for Health and Care Research; Government of Canada; QIMR Berghofer Medical Research Institute; British Heart Foundation; National Health and Medical Research Council; UK and Eire Glaucoma Society; International Glaucoma Association; Alcon Research Institute; BrightFocus Foundation","keywords":"Biobank; Glaucoma; Genome-wide association study; Optic nerve; Quantitative trait locus; Medicine; Ophthalmology; Biology; Bioinformatics; Genetics; Single-nucleotide polymorphism; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001200756,0.0004413814,0.0003797889,0.00383717,0.0007900579,0.001095505,0.0005637293,0.0007381429,0.002105933],"category_scores_gemma":[0.003217876,0.000288194,0.0004243279,0.00185539,0.000434169,0.0003935561,0.0009549651,0.0004445166,0.000733003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524952,"about_ca_system_score_gemma":0.001332545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1882387,"about_ca_topic_score_gemma":0.3390196,"domain_scores_codex":[0.9992927,0.00008204527,0.00004555546,0.000246255,0.0001899926,0.0001433969],"domain_scores_gemma":[0.9984207,0.0002952411,0.0002121358,0.0003194958,0.0006543672,0.00009803726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226702,0.0001745565,0.5621666,0.0007738653,0.0008126564,0.001036513,0.001082142,0.009934917,0.1119167,0.002242846,0.04259956,0.2660329],"study_design_scores_gemma":[0.00005316595,0.00005768308,0.9046681,0.0001451136,0.0003032225,0.001170505,0.0004531833,0.05204026,0.02031566,0.001938684,0.018768,0.00008649756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339851,0.003065807,0.0231162,0.0007206193,0.0001182331,0.0001509434,0.0286579,0.001983286,0.008202032],"genre_scores_gemma":[0.9322597,0.0007744323,0.03703071,0.0003123564,0.00005745248,0.00009072977,0.02541067,0.0002358989,0.003828066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8117613,"threshold_uncertainty_score":0.3742861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114078050625658,"score_gpt":0.2757548250559853,"score_spread":0.2546140445497287,"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."}}