{"id":"W2583473693","doi":"","title":"Defining the Nyquist Sampling limit for Dynamic Accommodation","year":2016,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Accommodation; Nyquist frequency; Limit (mathematics); Nyquist–Shannon sampling theorem; Mathematics; Sampling (signal processing); Computer science; Physics; Mathematical analysis; Optics; Telecommunications; Bandwidth (computing)","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.002289604,0.0001775392,0.0002336878,0.00008322347,0.0007005048,0.00007108653,0.0006253672,0.00007762069,0.00009365665],"category_scores_gemma":[0.02520169,0.00009515934,0.00005262592,0.0004558541,0.004187129,0.0002253256,0.0002008278,0.0001334723,0.00003617758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117047,"about_ca_system_score_gemma":0.0002423744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001296402,"about_ca_topic_score_gemma":0.000002654328,"domain_scores_codex":[0.9981521,0.000216155,0.0003431176,0.0004907214,0.0002947727,0.0005030993],"domain_scores_gemma":[0.9896925,0.00932451,0.0002296474,0.0002931895,0.0003061224,0.0001540422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002150763,0.00005049707,0.004024751,0.00001896466,0.00001272406,0.000004110105,0.000439824,0.000001663237,0.283306,0.6961932,0.00004385956,0.01588293],"study_design_scores_gemma":[0.0002091972,0.0003214221,0.02760187,0.00008755662,0.00001860154,0.0000489381,0.0001423066,0.001853085,0.04102784,0.9284692,0.00004157931,0.0001784193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277761,0.00002356747,0.06887306,0.001564926,0.0002839715,0.0003678986,0.00003637232,0.00004474295,0.001029369],"genre_scores_gemma":[0.7511095,0.000001197854,0.24852,0.0001496731,0.00002994003,0.00009471893,0.000001217581,0.00001205574,0.0000817262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2422782,"threshold_uncertainty_score":0.9985229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.169919148187355,"score_gpt":0.4612838402995948,"score_spread":0.2913646921122398,"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."}}