{"id":"W4416251048","doi":"10.1109/ijcnn64981.2025.11228428","title":"Optimizing view generation in classification datasets","year":2025,"lang":"","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Decomposition; k-nearest neighbors algorithm; Key (lock); Computational complexity theory; Decomposition method (queueing theory); Divide and conquer algorithms","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":[0.004332804,0.001467872,0.002161728,0.001483188,0.0007065012,0.002213217,0.002065316,0.001759628,0.002399901],"category_scores_gemma":[0.01231974,0.0008494881,0.00203823,0.00176405,0.0008420151,0.002778796,0.002869615,0.002333584,0.001116218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347974,"about_ca_system_score_gemma":0.001193989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602143,"about_ca_topic_score_gemma":0.004202729,"domain_scores_codex":[0.9970341,0.001325062,0.0001607078,0.0006146712,0.0005916279,0.000273833],"domain_scores_gemma":[0.9935049,0.003630378,0.0003129648,0.001413343,0.0008800973,0.0002582106],"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":[0.000823515,0.0005893675,0.006434853,0.0003014886,0.0002189911,0.0002623972,0.0004043109,0.4167456,0.01829372,0.0169087,0.01547839,0.5235387],"study_design_scores_gemma":[0.00006423359,0.0001142369,0.0005248484,0.00001658277,0.00003046875,0.0000843102,0.00009169643,0.9776444,0.004560868,0.01512146,0.001729068,0.00001784676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05928616,0.0005092265,0.9351173,0.00032872,0.00006398961,0.0002468221,0.000473572,0.002316447,0.001657826],"genre_scores_gemma":[0.2971123,0.0002364059,0.6964316,0.0003254679,0.00006356132,0.0004718461,0.003544032,0.000496414,0.001318463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004332804,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0555552130765447,"score_gpt":0.3284996722206477,"score_spread":0.272944459144103,"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."}}