{"id":"W3163092774","doi":"10.18280/ts.380231","title":"An Image Sharpness Enhancement Algorithm Based on Green Function","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Algorithm; Boundary (topology); Artificial intelligence; Image enhancement; Function (biology); Computer vision; Brightness; Consistency (knowledge bases); Computer science; Mathematics; Domain (mathematical analysis)","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":[0.0004000783,0.0004696437,0.0005477113,0.0008754685,0.0002789042,0.0005156956,0.0005624265,0.0006457459,0.001032714],"category_scores_gemma":[0.0006897275,0.0002594589,0.000662977,0.0005830826,0.0003681359,0.001062391,0.0003757832,0.0007767092,0.0005030739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763428,"about_ca_system_score_gemma":0.0004528137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008692569,"about_ca_topic_score_gemma":0.0007460528,"domain_scores_codex":[0.9997504,0.00002724546,0.00001456614,0.00005572738,0.0001302642,0.00002174245],"domain_scores_gemma":[0.9997625,0.00006231057,0.00002341447,0.00002847467,0.0001101165,0.00001322858],"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":[0.0001359981,0.0000817943,0.0005397832,0.0001824522,0.00005530717,0.0002141255,0.0001565366,0.03587006,0.4411477,0.01496624,0.00188864,0.5047614],"study_design_scores_gemma":[0.00005903769,0.0002943965,0.001423878,0.00003111898,0.00008682548,0.001485042,0.00004336621,0.7131711,0.2630082,0.005104424,0.01520072,0.00009189893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009653487,0.0002698526,0.9884322,0.00007027337,0.00004123192,0.00002983305,0.00000919885,0.000432131,0.001061789],"genre_scores_gemma":[0.1229183,0.0008661015,0.8718451,0.000126623,0.00006784563,0.00005821847,0.0000588926,0.0001175144,0.003941284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001032714,"threshold_uncertainty_score":0.003454745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107745593680632,"score_gpt":0.2469240524701204,"score_spread":0.2358465965333141,"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."}}