{"id":"W1013293889","doi":"","title":"A Methodology for the Creation of 3D Corneal Atlases Based on Topography","year":2006,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Optometry; Corneal topography; Ophthalmology; Computer science; Cornea; Medicine","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":[0.001452686,0.001084686,0.001001659,0.003056452,0.00102422,0.003332801,0.001976533,0.0009716373,0.007404226],"category_scores_gemma":[0.003084623,0.00134347,0.001566805,0.002887039,0.0006549678,0.001257589,0.002800075,0.001797618,0.004156978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005490502,"about_ca_system_score_gemma":0.002118618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004069674,"about_ca_topic_score_gemma":0.007310303,"domain_scores_codex":[0.998715,0.0001912578,0.0001042321,0.0002614411,0.0006460298,0.00008205683],"domain_scores_gemma":[0.9982668,0.0003455192,0.0001507638,0.0005246039,0.000624172,0.00008814328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009447149,0.00008865834,0.002443938,0.0004553187,0.000198484,0.0002575398,0.0007224296,0.03459354,0.05909268,0.02362389,0.01232208,0.866107],"study_design_scores_gemma":[0.0001022752,0.0002813308,0.01173615,0.0002141638,0.0002673506,0.003210841,0.0008172833,0.7017238,0.09898863,0.04844559,0.1337742,0.0004384167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007173494,0.00002678111,0.9975353,0.00001385514,0.00001653173,0.00006916752,0.0001640852,0.001172859,0.0002839941],"genre_scores_gemma":[0.0134693,0.0001025562,0.9845969,0.00001467882,0.00001156014,0.0001616115,0.0006479872,0.0003052514,0.0006901686],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007404226,"threshold_uncertainty_score":0.02476966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06601643200362897,"score_gpt":0.3516377199917626,"score_spread":0.2856212879881337,"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."}}