{"id":"W1550780726","doi":"10.1109/ijcnn.2005.1556016","title":"Evaluation of cluster combination functions for mixture of experts","year":2006,"lang":"en","type":"article","venue":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; Ministry of Earth Sciences","keywords":"Computer science; Modular design; Artificial neural network; Artificial intelligence; Cluster (spacecraft); Basis (linear algebra); Data mining; Machine learning; Architecture; Regression; Data modeling; Software engineering; Mathematics; Statistics; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02288995,0.002734248,0.003020524,0.004511596,0.001535997,0.003276777,0.002987582,0.003951428,0.003364525],"category_scores_gemma":[0.04814617,0.0009564684,0.002017149,0.002350018,0.0013342,0.002912214,0.003491676,0.002308758,0.001159052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406918,"about_ca_system_score_gemma":0.002022019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007206956,"about_ca_topic_score_gemma":0.004828952,"domain_scores_codex":[0.9919935,0.004281081,0.0003586078,0.001129284,0.001699289,0.0005382196],"domain_scores_gemma":[0.9772954,0.01266556,0.0009392495,0.001825611,0.006294926,0.0009793021],"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":[0.002513999,0.0002216859,0.004894666,0.0003002328,0.0007164056,0.00008165213,0.0002341347,0.7079315,0.001815911,0.008343673,0.00711386,0.2658324],"study_design_scores_gemma":[0.00002433214,0.00007180405,0.0004875558,0.00001910819,0.00003560645,0.00001902986,0.00003730051,0.9959752,0.0009026264,0.002084427,0.0003295869,0.000013392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07733246,0.001751469,0.9139189,0.0005433942,0.0001730813,0.0003496092,0.0002868398,0.001928079,0.003716225],"genre_scores_gemma":[0.6676167,0.0004676547,0.3261155,0.0002208953,0.0001312368,0.0003884994,0.001451097,0.0006729788,0.002935467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02288995,"threshold_uncertainty_score":0.121055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0579647939723289,"score_gpt":0.2976824014783772,"score_spread":0.2397176075060483,"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."}}