{"id":"W4414015748","doi":"10.11159/mvml25.001","title":"Fast Algorithms for Model-Based Smoothing Of Discontinuous Signals and Images","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoothing; Computer science; Algorithm; Artificial intelligence; Computer vision","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":[0.001744345,0.001587649,0.001592847,0.00131877,0.0006791668,0.001632438,0.0025821,0.002752939,0.004378188],"category_scores_gemma":[0.005546463,0.001263135,0.001516149,0.001708226,0.001090475,0.001725678,0.002272757,0.003143339,0.001938049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297871,"about_ca_system_score_gemma":0.001349083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003625141,"about_ca_topic_score_gemma":0.003572559,"domain_scores_codex":[0.9994783,0.0001486187,0.000032061,0.00009720904,0.0002014414,0.00004240476],"domain_scores_gemma":[0.9984466,0.000865833,0.0001488141,0.0002577099,0.0002213716,0.00005970212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001098428,0.00005959669,0.0003358892,0.0001869229,0.00009746783,0.000071975,0.0001421123,0.6907539,0.005174819,0.06264027,0.005687695,0.2347395],"study_design_scores_gemma":[0.00000857514,0.00001062221,0.00003073011,0.00000664461,0.000004696414,0.00001814402,0.000005402896,0.9818934,0.0005343547,0.0160556,0.001426009,0.00000585622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005946379,0.0001201286,0.9988153,0.0000437667,0.00001916478,0.00001068305,0.00001634721,0.0002219733,0.0001580633],"genre_scores_gemma":[0.04568836,0.0004978987,0.9508567,0.00007315389,0.00009181436,0.0001869859,0.0002712822,0.0002673659,0.002066545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004378188,"threshold_uncertainty_score":0.01464653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007490448916402576,"score_gpt":0.2428368901374535,"score_spread":0.2353464412210509,"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."}}