{"id":"W4205672093","doi":"10.18280/ts.380618","title":"Color Enhancement of Low Illumination Garden Landscape Images","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Robustness (evolution); Image enhancement; Image (mathematics); Biology","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":[0.0001416791,0.0003216922,0.0001729305,0.0003801718,0.00008166786,0.0002940415,0.0001910289,0.0001737905,0.001213899],"category_scores_gemma":[0.0003036903,0.0001021878,0.0002236007,0.0002033215,0.0001762131,0.0003182349,0.0002143289,0.0003461506,0.0002925497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499399,"about_ca_system_score_gemma":0.0001130153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004847204,"about_ca_topic_score_gemma":0.0008605845,"domain_scores_codex":[0.9999427,0.000007464661,0.000001785113,0.00001347755,0.00002309591,0.00001151085],"domain_scores_gemma":[0.9998858,0.000024623,0.00001670452,0.00001654769,0.00004515584,0.00001116106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002920527,0.00004447632,0.001073212,0.0002299376,0.00002469507,0.0003806913,0.0001259637,0.009242514,0.805357,0.001585405,0.001299624,0.1803445],"study_design_scores_gemma":[0.00003210022,0.0003452462,0.01241946,0.00003805929,0.00008315586,0.001321338,0.00009538131,0.1604724,0.8116336,0.0009243842,0.01258915,0.00004570047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4856339,0.0007121394,0.5007076,0.0001927086,0.0001013857,0.0000621467,0.0001173616,0.002024391,0.01044841],"genre_scores_gemma":[0.8487203,0.0006856735,0.1446229,0.00009050101,0.00003091559,0.00001979439,0.0001070142,0.0001685617,0.005554335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001213899,"threshold_uncertainty_score":0.004060924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007971594735694646,"score_gpt":0.2307615889588941,"score_spread":0.2227899942231995,"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."}}