{"id":"W2086053970","doi":"10.1007/s10278-009-9261-1","title":"Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis","year":2010,"lang":"en","type":"review","venue":"Journal of Digital Imaging","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; False positive paradox; Optic nerve; Fundus (uterus); Pixel; Computer vision; Retina; Sensitivity (control systems); Pattern recognition (psychology); Medicine; Ophthalmology; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005000961,0.0002654148,0.001690828,0.0006435277,0.00004286101,0.00009656351,0.0002447705,0.000063825,0.000005564334],"category_scores_gemma":[0.000335114,0.0001222436,0.001196384,0.001581342,0.0003391376,0.0003017565,0.00006478481,0.0009089228,1.814531e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005754255,"about_ca_system_score_gemma":0.0002276036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003439597,"about_ca_topic_score_gemma":0.000007831945,"domain_scores_codex":[0.9979297,0.00009553297,0.001114323,0.0001914048,0.0004856308,0.0001834419],"domain_scores_gemma":[0.9969746,0.0001435412,0.002104178,0.0003758079,0.0003098587,0.00009204914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0001164242,0.0003341828,0.02624585,0.003822149,0.002112695,0.0002850316,0.0001500345,0.00002335261,0.0009531456,0.000001447284,0.00003137339,0.9659243],"study_design_scores_gemma":[0.01957628,0.003845251,0.07706684,0.3117883,0.3334789,0.06834816,0.004304601,0.004641004,0.008235466,0.0002558256,0.164902,0.003557351],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1681148,0.8301236,0.0002099229,0.0005661433,0.0001081619,0.0002922828,0.00004969223,0.000005714117,0.0005296784],"genre_scores_gemma":[0.8402465,0.1591281,0.0002401545,0.00001753583,0.0001025666,0.000002493011,0.000005343524,0.00003722015,0.0002201628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9623669,"threshold_uncertainty_score":0.4984949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054115794726131,"score_gpt":0.3305502806079307,"score_spread":0.3100091226606694,"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."}}