{"id":"W2019894475","doi":"10.1364/srs.2007.jtua8","title":"Correcting Phase Distorted Images using Aperture Diversity","year":2007,"lang":"en","type":"article","venue":"Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer vision; Object (grammar); Computer science; Phase (matter); Artificial intelligence; Diversity (politics); Aperture (computer memory); Optics; Physics; Acoustics","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":[0.0003946894,0.0005985815,0.0004363656,0.0005766923,0.0002792133,0.0006051746,0.000414267,0.0005756543,0.001252926],"category_scores_gemma":[0.001831508,0.0002469756,0.0003744306,0.0007744491,0.0004494763,0.0008131132,0.0009749032,0.0004291991,0.0003730756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004297866,"about_ca_system_score_gemma":0.0004600396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008962114,"about_ca_topic_score_gemma":0.001558392,"domain_scores_codex":[0.9996119,0.00006337906,0.00001243265,0.00005628648,0.000210004,0.00004610656],"domain_scores_gemma":[0.9990447,0.0003307253,0.0001664,0.0002116487,0.0002067618,0.00003981063],"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":[0.0009345553,0.00007116186,0.002148739,0.0001562568,0.0001626356,0.000324635,0.0003091984,0.1124925,0.5479333,0.01694245,0.001293363,0.3172311],"study_design_scores_gemma":[0.00008873946,0.0002529839,0.001974492,0.00003155223,0.00007213786,0.001565476,0.00006703972,0.6300263,0.3505211,0.009153082,0.006142924,0.0001040215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1254048,0.0004730198,0.8684379,0.0001764647,0.00007698013,0.00003366639,0.00006549239,0.0007756528,0.004555983],"genre_scores_gemma":[0.5628106,0.0003364423,0.4325061,0.00007268613,0.00005151545,0.0000276631,0.0001521386,0.00008718027,0.003955583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001252926,"threshold_uncertainty_score":0.004191458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741965471985852,"score_gpt":0.3051738072496021,"score_spread":0.2777541525297436,"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."}}