{"id":"W3126300220","doi":"10.3390/s21041053","title":"A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; York University","keywords":"Chromatic aberration; Robustness (evolution); Computer science; Chromatic scale; Artificial intelligence; Image restoration; Computer vision; Optics; Algorithm; Image processing; Image (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845626,0.0005825721,0.0005515285,0.0006370522,0.0003971889,0.0006912848,0.0008640931,0.0007962571,0.001198439],"category_scores_gemma":[0.0007788746,0.0003083901,0.0006915264,0.0006863088,0.0004110485,0.0006963913,0.0005532649,0.00101371,0.0006914556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000686577,"about_ca_system_score_gemma":0.001143828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003980086,"about_ca_topic_score_gemma":0.002710102,"domain_scores_codex":[0.9996417,0.0000359128,0.00001797421,0.00007634469,0.0001933538,0.00003465419],"domain_scores_gemma":[0.9997141,0.00003562972,0.00003957534,0.00004098617,0.0001487216,0.0000210074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000238262,0.00008341514,0.0009782879,0.0002087831,0.00006886572,0.000143872,0.0001670572,0.08629097,0.223238,0.01061954,0.002265432,0.6756976],"study_design_scores_gemma":[0.00001649544,0.00007228898,0.0005169146,0.00001065636,0.00001898938,0.0003029889,0.00003617993,0.9266896,0.06720011,0.001423107,0.003678904,0.00003388934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01049941,0.0001917833,0.9881467,0.00006665048,0.00003528429,0.00002629756,0.00001452367,0.0003337928,0.0006855408],"genre_scores_gemma":[0.09482745,0.0003524404,0.902173,0.00005985788,0.00002711626,0.00005391072,0.00008339877,0.00006227638,0.002360579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003980086,"threshold_uncertainty_score":0.007913888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135717073626201,"score_gpt":0.2808986086304018,"score_spread":0.2695414378941398,"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."}}