{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007995443,0.0001872532,0.0005845561,0.000238126,0.00006260348,0.00002201973,0.0001716451,0.0002808276,0.0003991429],"category_scores_gemma":[0.0006839435,0.0001509491,0.0005720762,0.00153189,0.000168519,0.00006228541,0.0001166172,0.0005188102,0.001702733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002138825,"about_ca_system_score_gemma":0.00009458482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002075181,"about_ca_topic_score_gemma":0.000003785479,"domain_scores_codex":[0.9980207,0.00008219003,0.0005785404,0.0004460356,0.0004283625,0.0004441575],"domain_scores_gemma":[0.9982896,0.0004557624,0.00009244982,0.0006410885,0.00009984105,0.0004212667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477745,0.0002209654,0.9813724,0.00004103299,0.0002129734,0.0003424928,0.00006514737,5.692698e-7,0.0002581244,0.00007091027,0.005218847,0.01204874],"study_design_scores_gemma":[0.001660551,0.0004379453,0.9715174,0.0000768229,0.0001479792,0.000007879152,0.0005694486,0.0002174781,0.0004111586,0.00005738203,0.02470188,0.0001940904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902417,0.0004009736,0.0000531369,0.00337196,0.0008689648,0.0002763033,0.00001145141,0.0003628292,0.004412689],"genre_scores_gemma":[0.9916834,0.0005110597,0.0005286398,0.002753422,0.0005016038,0.00001745389,0.00005154923,0.0000434607,0.003909361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948303,"threshold_uncertainty_score":0.9990746,"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."}}