{"id":"W2737790309","doi":"10.1097/opx.0000000000001107","title":"Aberrometry Repeatability and Agreement with Autorefraction","year":2017,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"National Eye Institute","keywords":"Autorefractor; Repeatability; Zernike polynomials; Dioptre; Spherical aberration; Mathematics; Refractive error; Limits of agreement; Pupil; Root mean square; Optics; Physics; Optometry; Medicine; Statistics; Nuclear medicine; Visual acuity; Lens (geology); Wavefront","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009643713,0.00008862329,0.0001609324,0.0001605046,0.001363314,0.0001131387,0.00008913932,0.00003780986,0.00004249153],"category_scores_gemma":[0.0003919424,0.00005638079,0.00001247758,0.0002253813,0.001570082,0.0005897732,0.0002091466,0.000108838,0.000006793709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000242559,"about_ca_system_score_gemma":0.00002849652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000137707,"about_ca_topic_score_gemma":2.97463e-7,"domain_scores_codex":[0.999029,0.00001273616,0.0001034367,0.000380756,0.0002988532,0.0001752559],"domain_scores_gemma":[0.9992136,0.00004867285,0.00009164596,0.0004046415,0.00009222828,0.0001492549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001583133,0.0001400594,0.9870943,0.00005659874,0.000009513087,0.000009171288,0.00008497509,3.967505e-8,0.002594526,0.00004366091,0.00002082948,0.009787994],"study_design_scores_gemma":[0.0006605991,0.001804359,0.9952791,0.00008868849,0.00002353703,0.0001492641,0.0001848075,0.0001259684,0.00133649,0.00002930171,0.0002457743,0.00007205925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994894,0.0001200431,0.00007793806,0.0009590614,0.0001117511,0.0001402565,0.000001268282,0.00001464092,0.003681037],"genre_scores_gemma":[0.9982511,0.00007323792,0.0010079,0.0000881052,0.00002650295,0.000003548646,5.352975e-7,0.000002421535,0.0005466284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009715934,"threshold_uncertainty_score":0.9999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210755547078761,"score_gpt":0.4952103631325359,"score_spread":0.4631028076617483,"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."}}