{"id":"W2116073200","doi":"10.1109/iembs.2004.1403479","title":"3D average human corneal models","year":2005,"lang":"en","type":"article","venue":"","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Keratoconus; Atlas (anatomy); Cornea; Computer science; Corneal topography; Artificial intelligence; Optometry; Computer vision; Ophthalmology; Medicine; Anatomy","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":[0.0004902063,0.0004433543,0.0005641123,0.001183625,0.0003815248,0.002100417,0.001063162,0.0006276037,0.004122484],"category_scores_gemma":[0.00187121,0.000519126,0.001235252,0.001059327,0.0004481784,0.0009172226,0.001138556,0.0007118651,0.001234035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004033975,"about_ca_system_score_gemma":0.0009746681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004533716,"about_ca_topic_score_gemma":0.006777996,"domain_scores_codex":[0.9994469,0.00008200255,0.00003246747,0.0001050545,0.0002992294,0.00003418124],"domain_scores_gemma":[0.9994418,0.0001544182,0.00005179075,0.0001777538,0.0001358749,0.00003839669],"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":[0.0002546572,0.00004640626,0.00529575,0.0002831244,0.0001488972,0.0004790377,0.0004861542,0.5822793,0.02555668,0.02611823,0.00721158,0.3518401],"study_design_scores_gemma":[0.00001210503,0.00006883483,0.002243532,0.00003089717,0.00003641972,0.0009438366,0.00009639958,0.9689529,0.006897243,0.007374691,0.01329363,0.00004944643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01211986,0.0001563575,0.9834178,0.00006092352,0.00003376033,0.00004850021,0.0004370226,0.001083343,0.002642434],"genre_scores_gemma":[0.4465498,0.000787068,0.5453185,0.00008280973,0.00004173425,0.0001572979,0.001743704,0.0004705207,0.004848498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004533716,"threshold_uncertainty_score":0.01379114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360589163962551,"score_gpt":0.2771270224784494,"score_spread":0.2435211308388239,"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."}}