{"id":"W2312319658","doi":"10.1097/opx.0000000000000369","title":"Pupil Scaling for the Estimation of Aberrations in Natural Pupils","year":2014,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pupil; Zernike polynomials; Scaling; Pupil size; Pupillary response; Mathematics; Wavefront; Pupil diameter; Statistics; Variable (mathematics); Optics; Physics; Mathematical analysis; Geometry","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":[0.001165723,0.00004299632,0.0001024719,0.000166247,0.000261761,0.00001572188,0.00006228865,0.00002177685,0.000005050597],"category_scores_gemma":[0.0009870613,0.00002521419,0.00001808932,0.0006117908,0.0003997759,0.0001731047,0.00003942564,0.00006029447,0.000001178238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008631871,"about_ca_system_score_gemma":0.00001834165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003028525,"about_ca_topic_score_gemma":2.234675e-7,"domain_scores_codex":[0.999477,0.00001339428,0.0001288903,0.0001274789,0.0001455653,0.000107689],"domain_scores_gemma":[0.9993497,0.000411148,0.0000432479,0.0000950191,0.00007319784,0.00002774302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005995966,0.0008670946,0.6743341,0.0005725138,0.00003985084,0.000001249425,0.00305918,0.0008089959,0.05945631,0.009293592,0.000408495,0.250559],"study_design_scores_gemma":[0.0004992697,0.0004294942,0.8345489,0.00008504525,0.00001274033,0.00001007847,0.0002233877,0.1612337,0.002657739,0.0002203196,0.00004489653,0.00003443962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924399,0.0001646272,0.005801891,0.0009662572,0.0001468853,0.0001827648,7.324114e-7,0.000005226149,0.0002917547],"genre_scores_gemma":[0.9975358,0.00001424438,0.00221819,0.0001052894,0.00001751829,0.000008331204,7.881691e-7,0.000001447631,0.00009842894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2505246,"threshold_uncertainty_score":0.2013281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970719997950247,"score_gpt":0.4951663500775546,"score_spread":0.4654591500980521,"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."}}