{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666288,0.0001411504,0.0001088359,0.00009067106,0.0001256094,0.000168385,0.001529873,0.00004203269,0.000001442854],"category_scores_gemma":[0.00006088994,0.000127993,0.00001444692,0.0002398451,0.0001041068,0.001964396,0.0005729754,0.0001737794,0.00003784481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008484114,"about_ca_system_score_gemma":0.00005554166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345801,"about_ca_topic_score_gemma":0.00001612793,"domain_scores_codex":[0.9986749,0.000024156,0.0001988801,0.0005516714,0.0002617063,0.0002887011],"domain_scores_gemma":[0.9982163,0.00005283008,0.0001333505,0.001452023,0.00007319226,0.00007235273],"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":[0.0006505033,0.0004536943,0.0003753786,0.00008031981,0.0001336383,0.0004241638,0.003043467,0.002602193,0.08658314,0.01772323,0.1113333,0.776597],"study_design_scores_gemma":[0.0016425,0.000110378,0.000253597,0.00006748534,0.0000217307,0.00006892547,0.00002675602,0.9727599,0.005755827,0.0003783119,0.01840338,0.0005111878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009639652,0.00001529981,0.9775666,0.01041636,0.00006901313,0.0001164959,0.00001550284,0.0004942912,0.001666809],"genre_scores_gemma":[0.040503,0.00005279229,0.957844,0.001319183,0.0001360229,0.000004191396,0.00003487849,0.00001333474,0.00009255722],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9701577,"threshold_uncertainty_score":0.5219402,"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."}}