{"id":"W2745936217","doi":"","title":"Multicolor SLO image analysis of patients with LHON","year":2017,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Image (mathematics); Computer science; Optometry; Medicine; Ophthalmology; 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":[0.0002253783,0.0002274681,0.0002294721,0.001580175,0.0002552034,0.0004503179,0.0001320125,0.0002893561,0.001812449],"category_scores_gemma":[0.0006130984,0.0001107764,0.0003114123,0.0005667018,0.0001846136,0.0003507698,0.0002877476,0.0002344195,0.0003106973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002289915,"about_ca_system_score_gemma":0.0002337103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001479898,"about_ca_topic_score_gemma":0.001228987,"domain_scores_codex":[0.9998724,0.0000212829,0.00001718169,0.00002168232,0.00002193443,0.00004545929],"domain_scores_gemma":[0.9997515,0.0000453577,0.0000662856,0.000020387,0.00006473064,0.00005174828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001911226,0.0001084273,0.9426316,0.0001108788,0.0000940288,0.006326513,0.0002425528,0.000165749,0.02329759,0.0001649549,0.0008830515,0.02406329],"study_design_scores_gemma":[0.00001999445,0.0002708823,0.9744821,0.00002982823,0.0001321054,0.01418934,0.0006549704,0.001491372,0.006921053,0.0001762784,0.001608344,0.00002373354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954632,0.0006155919,0.0006394139,0.0001008476,0.00001338749,0.00002265864,0.000301812,0.00003416478,0.00280883],"genre_scores_gemma":[0.9986202,0.0002170529,0.0004226746,0.0000390862,0.00001707861,0.00001032744,0.0002185086,0.000006630155,0.000448539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812449,"threshold_uncertainty_score":0.006063282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07125373688206599,"score_gpt":0.3416940851371803,"score_spread":0.2704403482551143,"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."}}