{"id":"W2332981639","doi":"10.3928/01913913-20110222-01","title":"Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity","year":2012,"lang":"en","type":"review","venue":"Journal of Pediatric Ophthalmology & Strabismus","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Eye Institute","keywords":"Retinopathy of prematurity; Medicine; Receiver operating characteristic; Dilation (metric space); Disease; Tortuosity; Radiology; Artificial intelligence; Pathology; Internal medicine; Computer science; Gestational age; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002388541,0.0008481335,0.007832985,0.002975662,0.00007439428,0.00002464944,0.0006664809,0.0007698267,0.0001001764],"category_scores_gemma":[0.001167791,0.0006711803,0.004150498,0.00177474,0.0002679121,0.0001697574,0.0001588794,0.001467065,0.000005564365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530955,"about_ca_system_score_gemma":0.001525153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001473265,"about_ca_topic_score_gemma":0.000001737857,"domain_scores_codex":[0.9934776,0.0007563929,0.003548142,0.0006151821,0.0008126876,0.0007899629],"domain_scores_gemma":[0.9906673,0.002408321,0.004725103,0.0007692217,0.0008167116,0.0006133596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002947465,0.008328378,0.5981535,0.2956247,0.01160828,0.01525448,0.0006479326,0.0001180149,0.000002052243,0.00003065874,0.002267939,0.06501661],"study_design_scores_gemma":[0.01172471,0.007387965,0.5150689,0.01486517,0.4145712,0.008007566,0.000118972,0.0001508557,0.00001303895,0.0003421632,0.02510875,0.002640679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03529347,0.960929,0.0002415655,0.0001883207,0.0009860084,0.00192084,0.0003695092,0.00001667298,0.00005456112],"genre_scores_gemma":[0.03800256,0.943427,0.01516918,0.00001874885,0.002970502,0.0001770512,0.000112631,0.00009482558,0.00002751943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4029629,"threshold_uncertainty_score":0.9995739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08321769628385836,"score_gpt":0.3750214425054994,"score_spread":0.2918037462216411,"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."}}