{"id":"W2114139592","doi":"10.1364/ol.30.000489","title":"Real data results with wavelength-diverse blind deconvolution","year":2005,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Optics; Blind deconvolution; Deconvolution; Point spread function; Wavelength; Computer science; Physics","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":[0.002659405,0.0008301598,0.0007933457,0.0006886465,0.0008866315,0.001051682,0.0009282319,0.001438522,0.003458179],"category_scores_gemma":[0.00614083,0.0002683966,0.0005428422,0.001038799,0.001430392,0.001428039,0.0009474525,0.0007206635,0.0007104367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822239,"about_ca_system_score_gemma":0.0004441568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001999581,"about_ca_topic_score_gemma":0.001288057,"domain_scores_codex":[0.9986153,0.0002629914,0.00008995189,0.0001970336,0.0007163865,0.0001183411],"domain_scores_gemma":[0.9957616,0.001522972,0.0001827577,0.001088442,0.001358195,0.00008600896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004385072,0.00108209,0.007253273,0.001573835,0.0004802131,0.001236742,0.001816302,0.3899579,0.4015962,0.02292906,0.008883826,0.1588055],"study_design_scores_gemma":[0.0001475754,0.0003576564,0.004085403,0.00003183899,0.00005433008,0.000932931,0.0002390282,0.5544617,0.4242622,0.008853563,0.00640127,0.0001724891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6337845,0.00069639,0.3538767,0.0006367207,0.0001214201,0.000134425,0.001495452,0.002443545,0.006810862],"genre_scores_gemma":[0.8301542,0.0002202696,0.1654785,0.00005142897,0.00002248523,0.00009837981,0.000993336,0.0002809363,0.002700537],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003458179,"threshold_uncertainty_score":0.01406449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03975626230854484,"score_gpt":0.2941302997418783,"score_spread":0.2543740374333335,"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."}}