{"id":"W3122308828","doi":"10.1109/icip42928.2021.9506042","title":"Improving Classification Accuracy With Graph Filtering","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Graph; Pattern recognition (psychology); Machine learning; Class (philosophy); Noise (video); Training set; Data mining; Theoretical computer science; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003343725,0.001642708,0.002006451,0.00307624,0.0009925361,0.002072141,0.001720321,0.003026625,0.001995476],"category_scores_gemma":[0.01452806,0.0003616228,0.0009767467,0.001867221,0.001022299,0.003548708,0.001278402,0.002219544,0.001588552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114471,"about_ca_system_score_gemma":0.0008132213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004093684,"about_ca_topic_score_gemma":0.005193565,"domain_scores_codex":[0.9972899,0.0007037776,0.0001390104,0.0008722589,0.0007677493,0.000227398],"domain_scores_gemma":[0.9920075,0.004968807,0.0005175727,0.001389564,0.0009136664,0.0002028334],"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":[0.0006881366,0.0004258036,0.00737052,0.0002960934,0.0002595278,0.0001672486,0.0002340999,0.173993,0.01598762,0.0096363,0.01607436,0.7748673],"study_design_scores_gemma":[0.00002361555,0.0001121558,0.001611902,0.00002135841,0.00005220063,0.00008624761,0.00005694055,0.9706981,0.005882889,0.01992112,0.001512163,0.0000213315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1847521,0.003726522,0.7972844,0.001462992,0.0006472646,0.0001398594,0.0004843442,0.006886313,0.004616161],"genre_scores_gemma":[0.8169388,0.000687352,0.1758498,0.0006349632,0.0003450041,0.0000755178,0.001563996,0.0004511411,0.00345347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004093684,"threshold_uncertainty_score":0.01768357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998221534368858,"score_gpt":0.2616561434561371,"score_spread":0.2316739281124485,"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."}}