{"id":"W4388099189","doi":"10.18280/ts.400536","title":"A New Deep Learning-Based Restoration Method for Colour Images","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Deep learning; Computer science; Computer vision; Image restoration; Image (mathematics); Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004836999,0.000665985,0.0007677294,0.000751678,0.0003252445,0.0005944541,0.001192106,0.0008729089,0.002351374],"category_scores_gemma":[0.0007605478,0.000340198,0.001080172,0.0006378398,0.0004749874,0.001096046,0.0009254942,0.001477021,0.0006895337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006596574,"about_ca_system_score_gemma":0.0009507997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0054172,"about_ca_topic_score_gemma":0.007021394,"domain_scores_codex":[0.9997715,0.00002600484,0.00001157324,0.00005961203,0.00009749171,0.00003381165],"domain_scores_gemma":[0.9997761,0.00003870687,0.00001964055,0.00002836185,0.0001133807,0.00002386791],"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":[0.0001669895,0.0001399164,0.0007776366,0.0002529535,0.0001513788,0.0001114953,0.00008937615,0.1804098,0.05182912,0.01576523,0.006901299,0.7434049],"study_design_scores_gemma":[0.000007521059,0.00002652654,0.0001295665,0.000007581355,0.00001607638,0.00005171433,0.0000047444,0.9902161,0.005420164,0.001913401,0.002198231,0.000008296947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004229699,0.0003568336,0.9936469,0.0001195968,0.00007881455,0.00002254129,0.00003169922,0.0005113102,0.001002519],"genre_scores_gemma":[0.2115558,0.001203434,0.769425,0.0005482988,0.0001643537,0.0001220788,0.0003277909,0.0002811142,0.0163721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0054172,"threshold_uncertainty_score":0.01077133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191710735487966,"score_gpt":0.3062397973469447,"score_spread":0.284322689992065,"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."}}