{"id":"W4401321910","doi":"10.1016/j.clae.2024.102223","title":"Can optical modelling predict clinical vision outcomes of myopia control contact lenses?","year":2024,"lang":"en","type":"article","venue":"Contact Lens and Anterior Eye","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optometry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003725199,0.0002255835,0.0009243723,0.00009464931,0.00008747362,0.00003019628,0.00005380561,0.0001694513,0.00005997572],"category_scores_gemma":[0.00009302504,0.0001551852,0.0002688607,0.00005773595,0.000168129,0.0001108783,0.00005552162,0.0003141225,0.000009671206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000207679,"about_ca_system_score_gemma":0.00006906009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003618598,"about_ca_topic_score_gemma":0.000002553739,"domain_scores_codex":[0.9985119,0.00006559353,0.0006183541,0.000362526,0.0001558989,0.0002857028],"domain_scores_gemma":[0.9991474,0.0003825041,0.00007580536,0.0001828198,0.00007180731,0.000139635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009250964,0.0004249597,0.9868142,0.0004477255,0.0007945296,0.0003066118,0.0002681113,0.000001412564,0.004313571,0.001625536,0.000161895,0.003916365],"study_design_scores_gemma":[0.003782047,0.01187871,0.9694037,0.001458964,0.0005542301,0.0000794279,0.0001731743,0.01136605,0.0001551257,0.00004983466,0.0009030771,0.0001956511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922249,0.002616731,0.001117197,0.002500898,0.0005945117,0.000356507,0.00005978487,0.0000753362,0.0004541046],"genre_scores_gemma":[0.9974429,0.001221582,0.00009350219,0.0004996902,0.0001655759,0.000009179194,0.000007409214,0.00002273926,0.0005374016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01741048,"threshold_uncertainty_score":0.6328269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204621821237143,"score_gpt":0.3882474282288045,"score_spread":0.3462012100164331,"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."}}