{"id":"W2114918782","doi":"10.1109/ijcnn.1998.685972","title":"EVOL: ensembles voting online","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voting; Computer science; Artificial intelligence; Modular design; Focus (optics); Scheme (mathematics); Machine learning; Artificial neural network; Process (computing); 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":[0.003466354,0.001038326,0.001461894,0.001236085,0.001165689,0.001640011,0.002619896,0.001787527,0.01608989],"category_scores_gemma":[0.01074284,0.0006316584,0.0009769138,0.001303985,0.0009454723,0.003826637,0.004170799,0.002247864,0.005347792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007640542,"about_ca_system_score_gemma":0.000849412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292918,"about_ca_topic_score_gemma":0.002552312,"domain_scores_codex":[0.9973099,0.001055388,0.0001253249,0.0004583024,0.0007952009,0.0002558868],"domain_scores_gemma":[0.9964111,0.001302789,0.0001557757,0.001434944,0.0005085441,0.0001869021],"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":[0.0005221343,0.0002323704,0.001941563,0.0001269328,0.0002108091,0.0001957761,0.0001761959,0.1910061,0.003828374,0.08299531,0.04481744,0.6739471],"study_design_scores_gemma":[0.00005904192,0.00006070664,0.0002533828,0.00001455794,0.00002250578,0.00007065989,0.00002309865,0.9019062,0.003008288,0.07904785,0.015516,0.00001766824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008523093,0.0002155584,0.9762093,0.0004279509,0.0002730733,0.0001664817,0.0002774585,0.006054962,0.007852017],"genre_scores_gemma":[0.4316182,0.0002373496,0.540778,0.0007392908,0.0004615087,0.0007377561,0.001697071,0.001584547,0.02214625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01608989,"threshold_uncertainty_score":0.05382603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892456644358199,"score_gpt":0.2409596469596482,"score_spread":0.2020350805160663,"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."}}