{"id":"W2016485517","doi":"10.1016/j.ajo.2009.08.022","title":"Ultrasound Biomicroscopic Analysis of Iris-Sutured Foldable Posterior Chamber Intraocular Lenses","year":2009,"lang":"en","type":"article","venue":"American Journal of Ophthalmology","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"IRIS (biosensor); Medicine; Intraocular lenses; Ophthalmology; Ultrasound; Ultrasound biomicroscopy; Optometry; Intraocular lens; Glaucoma; Computer science; Radiology; Biometrics; 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":[0.0002540493,0.0002329608,0.0002233819,0.001257182,0.0002752778,0.0003356629,0.0001995785,0.0004256406,0.00150202],"category_scores_gemma":[0.001988949,0.0001505605,0.0002330136,0.0003331797,0.0003896195,0.000320756,0.0001785207,0.0002955787,0.0001929922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186454,"about_ca_system_score_gemma":0.0002818454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003915166,"about_ca_topic_score_gemma":0.002382131,"domain_scores_codex":[0.9997208,0.0000397961,0.00002896789,0.00003674488,0.0001111962,0.00006248626],"domain_scores_gemma":[0.9990379,0.0004916369,0.00009738161,0.00005436783,0.0002216788,0.00009714897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005738296,0.0003235416,0.1245627,0.0001920048,0.00008112335,0.02866179,0.001319503,0.0002690057,0.8041487,0.0003017188,0.0003828779,0.03401875],"study_design_scores_gemma":[0.00008713922,0.00196215,0.6746228,0.00004289615,0.0001882166,0.0302256,0.001075698,0.002817753,0.2871634,0.0001854163,0.001585297,0.00004365972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966844,0.0004916455,0.001186323,0.00006424946,0.0000225799,0.00002348303,0.0001052682,0.00002388657,0.001398235],"genre_scores_gemma":[0.9988733,0.0001387474,0.0005127516,0.00004052164,0.00001260897,0.00000565974,0.00004535232,0.00000686318,0.0003641905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003915166,"threshold_uncertainty_score":0.007784724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259079973759673,"score_gpt":0.2969097326999477,"score_spread":0.2843189329623509,"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."}}