{"id":"W2162599054","doi":"10.1109/icsmc.1994.400271","title":"A spatially variant model for imaging through cataract","year":2002,"lang":"en","type":"article","venue":"","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cataract surgery; Artificial intelligence; Computer vision; Image (mathematics); Retinal; Process (computing); Retina; Image restoration; Ophthalmology; Image processing; Medicine; Neuroscience; Biology","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":[0.0002803812,0.0004885179,0.0005420382,0.0004279824,0.0003037725,0.0008776116,0.001046026,0.001217968,0.002268437],"category_scores_gemma":[0.001132518,0.0003297661,0.0008969184,0.0004919087,0.0006482645,0.0007817998,0.0004688906,0.0007510282,0.0003698878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022935,"about_ca_system_score_gemma":0.0007929111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01843093,"about_ca_topic_score_gemma":0.007448852,"domain_scores_codex":[0.9998486,0.0000318069,0.000007607036,0.00002638346,0.00006320168,0.00002239016],"domain_scores_gemma":[0.999728,0.0001014424,0.00004321304,0.00003105918,0.00007423892,0.00002192879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003460072,0.00001403064,0.0002653857,0.00003388256,0.00001195332,0.0001235815,0.00004115875,0.972663,0.005319544,0.01765367,0.0003770073,0.003462195],"study_design_scores_gemma":[0.000004700005,0.00001244143,0.0001128079,0.000002274387,0.00000451058,0.00004411999,0.000005336759,0.9964826,0.0005279927,0.002271286,0.0005227478,0.00000925774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06177508,0.0006926123,0.9269172,0.0004669797,0.0001548606,0.00007058496,0.0003989728,0.0004883655,0.009035305],"genre_scores_gemma":[0.891098,0.001179299,0.08769006,0.0001677255,0.00007211266,0.0001498603,0.0003609307,0.0001685452,0.0191136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01843093,"threshold_uncertainty_score":0.03664726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04809667136739772,"score_gpt":0.2773723779712716,"score_spread":0.2292757066038739,"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."}}