{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006112622,0.000405487,0.0004556737,0.0008630386,0.0003525601,0.0007001461,0.0006167467,0.0003680691,0.001677775],"category_scores_gemma":[0.02359081,0.0002767816,0.0005620563,0.0007655786,0.0005459462,0.0006082765,0.0009030763,0.0003529649,0.0005688756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759923,"about_ca_system_score_gemma":0.0004565211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002413203,"about_ca_topic_score_gemma":0.004610808,"domain_scores_codex":[0.9912236,0.002768813,0.001096076,0.001785688,0.002921252,0.000204648],"domain_scores_gemma":[0.983814,0.007278339,0.002871831,0.002144284,0.003700973,0.0001906049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001202369,0.00008432328,0.9284891,0.0002369822,0.0006514526,0.00006495599,0.001237518,0.001141248,0.008166345,0.0002475005,0.001013127,0.057465],"study_design_scores_gemma":[0.00004001483,0.0004616428,0.9877998,0.00003492859,0.000191654,0.0006827814,0.0002315643,0.003746977,0.005503871,0.0002424592,0.001032247,0.00003222514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654915,0.001264895,0.0274916,0.0000611079,0.00005436055,0.0002045763,0.0008340214,0.0003596234,0.004238395],"genre_scores_gemma":[0.9938229,0.00007414864,0.005214415,0.00001500557,0.000008285557,0.00007346959,0.0003279463,0.00003967687,0.0004240666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006112622,"threshold_uncertainty_score":0.032327,"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."}}