{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002575564,0.0006531189,0.0003698624,0.001244573,0.0002937947,0.0005417459,0.0004424936,0.0003207551,0.001637548],"category_scores_gemma":[0.01205404,0.0002854861,0.000410021,0.0008683512,0.0006341448,0.0008481417,0.0005655793,0.0005597974,0.000489312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486608,"about_ca_system_score_gemma":0.0005544561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120736,"about_ca_topic_score_gemma":0.001469416,"domain_scores_codex":[0.9975982,0.0009029603,0.0001832069,0.0004087759,0.0008641502,0.00004263223],"domain_scores_gemma":[0.994558,0.002610315,0.001176832,0.0007914434,0.0008067323,0.0000567708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001282715,0.0001938308,0.06764696,0.002102376,0.0003650915,0.0003451593,0.0008799943,0.01629245,0.4570175,0.005715269,0.001962315,0.4461964],"study_design_scores_gemma":[0.000162351,0.002327823,0.5430694,0.0004374829,0.0003487625,0.004248406,0.0004284206,0.09523781,0.3297805,0.004890655,0.01876163,0.000306652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4429431,0.005028059,0.5443636,0.0001688539,0.0001341833,0.0005438497,0.0006565372,0.0009790607,0.005182808],"genre_scores_gemma":[0.7022933,0.001539773,0.2942029,0.00005093655,0.00004552349,0.0003773137,0.0003760711,0.0002094852,0.0009046923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002575564,"threshold_uncertainty_score":0.01362103,"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."}}