{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004964964,0.000271505,0.0002037602,0.0001511546,0.0001815784,0.0003414189,0.0007035505,0.00006111716,0.001606702],"category_scores_gemma":[0.000005722689,0.0002751812,0.0000967159,0.0004195393,0.00004125133,0.001040349,0.0001150017,0.0001618796,0.0001384352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001482139,"about_ca_system_score_gemma":0.000126203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003014884,"about_ca_topic_score_gemma":0.000005250519,"domain_scores_codex":[0.9974679,0.0001747166,0.0003606994,0.0007655623,0.0007979471,0.0004332224],"domain_scores_gemma":[0.9986739,0.00004380652,0.0001151791,0.0007664834,0.0002631813,0.0001374672],"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":[0.00005335521,0.001699556,0.0000459867,0.00004510886,0.0000453544,0.0001985926,0.0002175028,0.0001370786,0.3126261,0.004279371,0.00444393,0.6762081],"study_design_scores_gemma":[0.0008906485,0.001099701,0.0009271943,0.00005500717,0.00001947849,0.00000426955,0.00001502682,0.4709396,0.5175635,0.0008584409,0.007232265,0.0003949177],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002992609,0.00002052527,0.9929909,0.0009907058,0.0002768495,0.0003385014,0.00001066763,0.0005225913,0.00185661],"genre_scores_gemma":[0.5898382,0.000006151854,0.4033156,0.005567045,0.000358042,0.0002647334,0.000150128,0.0000352204,0.0004648815],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6758131,"threshold_uncertainty_score":0.99997,"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."}}