{"id":"W4389197737","doi":"10.2147/opto.s433899","title":"Medmont Meridia™: Much More Than a Corneal Topographer","year":2023,"lang":"en","type":"article","venue":"Clinical Optometry","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contact lens; Corneal topography; Palpebral fissure; Optometry; Computer science; Medicine; Ophthalmology; Cornea","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":[0.005473392,0.001226613,0.001284301,0.002977645,0.001352658,0.003597335,0.001385574,0.002606855,0.07917044],"category_scores_gemma":[0.007272827,0.001076181,0.001010168,0.001490154,0.001565927,0.005372504,0.004026058,0.003011722,0.03064783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008591216,"about_ca_system_score_gemma":0.001952207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001939271,"about_ca_topic_score_gemma":0.002978947,"domain_scores_codex":[0.9959384,0.0005999258,0.0002596283,0.0007530304,0.002249506,0.0001994693],"domain_scores_gemma":[0.9916191,0.002473236,0.0003610883,0.001338386,0.002466706,0.001741367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006385845,0.0001508087,0.007349165,0.0006039248,0.00006012775,0.0006083261,0.0007181569,0.0001886954,0.01085357,0.004021542,0.2483844,0.7264228],"study_design_scores_gemma":[0.0001068366,0.0003751999,0.01012249,0.0005720853,0.00009180991,0.007974309,0.0004839293,0.001123193,0.004877455,0.002747945,0.9713073,0.0002174895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06493373,0.08759803,0.3253839,0.09855712,0.02446543,0.001139594,0.006246596,0.06138044,0.3302952],"genre_scores_gemma":[0.1569972,0.02451424,0.3848868,0.05699986,0.01154117,0.0007119186,0.005540484,0.009171005,0.3496373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07917044,"threshold_uncertainty_score":0.2648515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05115808777990481,"score_gpt":0.4285574470286785,"score_spread":0.3773993592487737,"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."}}