{"id":"W3101196487","doi":"10.1051/0004-6361/201219489/pdf","title":"Extended-object reconstruction in adaptive-optics imaging: the multiresolution approach","year":2013,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office National d'études et de Recherches Aérospatiales; U.S. Air Force; Ministerio de Ciencia y Tecnología; Universitat Autònoma de Barcelona; University of Toronto","keywords":"Deconvolution; Artificial intelligence; Blind deconvolution; Computer vision; Iterative reconstruction; Wavelet; Computer science; Algorithm; Curvelet; Wavelet transform; Optics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003156886,0.0002493785,0.0002792467,0.0007081534,0.0001778918,0.00008544834,0.001640097,0.0002092149,0.000001898614],"category_scores_gemma":[0.0002423761,0.000203706,0.00007310962,0.001285651,0.0009166753,0.001759924,0.0007076075,0.0006903653,0.00001626695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323179,"about_ca_system_score_gemma":0.0001149546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007488777,"about_ca_topic_score_gemma":0.000007186278,"domain_scores_codex":[0.9982409,0.00002881895,0.0004983617,0.0005901264,0.000220388,0.0004214455],"domain_scores_gemma":[0.9982932,0.00002158595,0.0003202379,0.001099637,0.00022593,0.00003940947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005974772,0.000121986,0.002735469,0.00003225321,0.00001651625,0.000005476746,0.000116611,0.0001980706,0.02009159,0.1197889,0.00003839466,0.8568488],"study_design_scores_gemma":[0.000770459,0.0001270936,0.01070245,0.0003297188,0.00001782869,0.0002663789,0.0001493477,0.7319224,0.06027999,0.1923472,0.002415779,0.0006712716],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02480482,0.0005784104,0.9665579,0.002722352,0.0004646686,0.0006523148,8.30924e-7,0.001303995,0.002914708],"genre_scores_gemma":[0.4211683,0.0000526226,0.5785635,0.00003908445,0.00003398084,0.0001122142,5.816196e-7,0.00001137333,0.00001835817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8561775,"threshold_uncertainty_score":0.8306888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529408037230286,"score_gpt":0.2423306130282513,"score_spread":0.2270365326559485,"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."}}