{"id":"W2011269401","doi":"10.1631/jzus.c1200156","title":"Adaptive online prediction method based on LS-SVR and its application in an electronic system","year":2012,"lang":"en","type":"article","venue":"Journal of Zhejiang University SCIENCE C","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Computer science; Support vector machine; Generalization; Process (computing); Data mining; Linear prediction; Machine learning; Predictive modelling; Artificial intelligence; Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008227674,0.0004087579,0.000643608,0.000389857,0.0003014558,0.0004251115,0.0006052182,0.0006496004,0.001258178],"category_scores_gemma":[0.001564156,0.000262509,0.0004459834,0.0003809411,0.000238846,0.0007044208,0.0003483524,0.0005850022,0.0002080747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002703974,"about_ca_system_score_gemma":0.0004452029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007232702,"about_ca_topic_score_gemma":0.002902125,"domain_scores_codex":[0.9996137,0.0001096214,0.0000278877,0.00008994175,0.0001282112,0.00003060908],"domain_scores_gemma":[0.9994802,0.000208359,0.00004337121,0.0000422032,0.0002080082,0.00001783756],"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":[0.0001918977,0.000108182,0.003000139,0.0001062845,0.00006788733,0.0002382886,0.0001346499,0.776852,0.01083222,0.003274821,0.001727083,0.2034666],"study_design_scores_gemma":[0.000002018865,0.00001240151,0.0001278371,9.314749e-7,0.000002562897,0.000008490471,0.000002793536,0.9991965,0.0004336062,0.0001220438,0.00008777017,0.000003122928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0589891,0.0002619395,0.9381093,0.0002039973,0.00006377016,0.00003264468,0.00002677683,0.0008406217,0.001471907],"genre_scores_gemma":[0.8985408,0.0002605862,0.09818462,0.00005600724,0.00004096644,0.00006726511,0.00006439168,0.00004713477,0.00273832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007232702,"threshold_uncertainty_score":0.01438117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728776636599315,"score_gpt":0.255198029860347,"score_spread":0.2379102634943538,"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."}}