{"id":"W1986332638","doi":"10.1364/ao.49.00g136","title":"Statistical error of a compact high-resolution Shack–Hartmann wavefront sensor with a discrete detector array","year":2010,"lang":"en","type":"article","venue":"Applied Optics","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optics; Physics; Wavefront; Detector; Wavefront sensor; Position (finance); Noise (video); Aperture (computer memory); Angular resolution (graph drawing); Adaptive optics; SIGNAL (programming language); Standard deviation; Signal-to-noise ratio (imaging); Computer science; Mathematics; Acoustics; Computer vision; Statistics","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":[0.000129215,0.0001940181,0.0004315315,0.00005662231,0.00009693042,0.000006952828,0.00006092641,0.0001220696,0.0001253786],"category_scores_gemma":[0.00006111821,0.0001363557,0.00003906445,0.00008723365,0.000447536,0.00002766986,0.00002658964,0.0003610656,0.00004586612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002209616,"about_ca_system_score_gemma":0.00004864327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002937556,"about_ca_topic_score_gemma":0.00002055535,"domain_scores_codex":[0.9989504,0.00001695465,0.0002531641,0.0002388927,0.0002303124,0.0003103284],"domain_scores_gemma":[0.9992452,0.0001424369,0.0001067822,0.000276024,0.00008182787,0.000147747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01477905,0.00426461,0.137016,0.001298244,0.002167318,0.0003433644,0.002957105,0.0001764735,0.731455,0.1006008,0.003932846,0.001009237],"study_design_scores_gemma":[0.006114312,0.006580568,0.9467912,0.0001123855,0.0009388359,0.0002510578,0.0008919504,0.001268247,0.03507731,0.0009300101,0.0005174688,0.000526662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990747,0.00001084349,0.005823135,0.0003810046,0.0001225692,0.000511351,0.00007908656,0.0000520569,0.002272925],"genre_scores_gemma":[0.9647949,0.000003461207,0.03470587,0.0000864434,0.0001194297,0.0000192235,0.0000549504,0.00002465831,0.000191077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8097752,"threshold_uncertainty_score":0.5560422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032657664414045,"score_gpt":0.3114465526977175,"score_spread":0.2911199760535771,"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."}}