{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159729,0.00005854655,0.0000918465,0.0004654046,0.0001431805,0.00003136127,0.0003898353,0.00003802823,0.000001247348],"category_scores_gemma":[0.00002201652,0.00005290808,0.00002305518,0.0006982991,0.00003408741,0.00257258,0.00004437309,0.0001675674,0.000003185595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244992,"about_ca_system_score_gemma":0.0001781954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008095431,"about_ca_topic_score_gemma":0.000008280061,"domain_scores_codex":[0.9990897,0.0001150753,0.000115114,0.0001495696,0.0003212467,0.000209273],"domain_scores_gemma":[0.9993342,0.00004844051,0.0001716832,0.000113569,0.0001790593,0.0001531153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00136624,0.00396088,0.05591848,0.0001821576,0.00005508813,0.0001362506,0.01225755,0.05118221,0.4010974,0.1880854,0.0004860478,0.2852723],"study_design_scores_gemma":[0.0005554084,0.000485273,0.03260541,0.0001116095,0.0000101748,0.00003941285,0.001564785,0.9595007,0.004669435,0.00005042836,0.0003160058,0.00009135887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6038561,0.00003468324,0.3953026,0.0003158068,0.0001317683,0.00009781121,0.000003568137,0.00002086504,0.0002367605],"genre_scores_gemma":[0.9847734,0.000007847323,0.01510887,0.00005351911,0.00004010906,1.438093e-7,7.212047e-7,0.000001575187,0.00001380156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9083185,"threshold_uncertainty_score":0.2157529,"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."}}