{"id":"W4406865792","doi":"10.1080/10618600.2025.2459287","title":"Online Kernel-Based Mode Learning","year":2025,"lang":"en","type":"article","venue":"Journal of Computational and Graphical Statistics","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Artificial intelligence; Online learning; Kernel (algebra); Machine learning; Theoretical computer science; Mathematics; World Wide Web; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005965998,0.00007395892,0.0001360338,0.0001402697,0.00003944227,0.00001646494,0.00005480594,0.00003227895,0.000004697525],"category_scores_gemma":[0.00007474536,0.00006705469,0.00002879091,0.0001250171,0.00005471991,0.00004252494,0.00001156702,0.0002659914,2.188134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001926562,"about_ca_system_score_gemma":0.00002318659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.581917e-7,"about_ca_topic_score_gemma":0.000001027655,"domain_scores_codex":[0.9994826,0.00001737704,0.0002483451,0.00004713911,0.0001300031,0.00007450227],"domain_scores_gemma":[0.9994035,0.0003120646,0.00005582089,0.00002299893,0.0001591024,0.00004651512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001910772,0.0000358289,0.0008301106,0.00005186904,0.00003600213,0.0000160553,0.00001028135,0.944155,0.0001269699,0.0415611,0.0006549121,0.01250271],"study_design_scores_gemma":[0.0002458707,0.00007910981,0.02116817,0.00007723594,0.00001393654,0.000009557405,0.000005002466,0.6499489,0.00006040266,0.3264243,0.001901984,0.0000654893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03914196,0.0001570216,0.9603354,0.0001203381,0.00007264133,0.0000226056,0.00005158843,0.00004663185,0.00005183092],"genre_scores_gemma":[0.6486278,0.00003907728,0.3512176,0.00006178048,0.00002436258,4.241287e-7,0.00001250526,0.000005596713,0.00001079442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6094859,"threshold_uncertainty_score":0.2734411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007858430918642127,"score_gpt":0.2722409042906839,"score_spread":0.2643824733720417,"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."}}