{"id":"W2228674985","doi":"10.1016/j.neucom.2015.12.083","title":"Recursive minimum component algorithms for parameter estimation of dynamic systems","year":2016,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Component (thermodynamics); Algorithm; Computer science; Computation; Identification (biology); Rank (graph theory); 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":[0.0008031153,0.001003869,0.001106154,0.0009697899,0.0004094597,0.0009247612,0.001089379,0.001115543,0.00234561],"category_scores_gemma":[0.007208993,0.0006369505,0.000472746,0.001230286,0.0005775264,0.001119882,0.0008664015,0.001608027,0.000858426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599639,"about_ca_system_score_gemma":0.001024053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009711254,"about_ca_topic_score_gemma":0.008651663,"domain_scores_codex":[0.9994503,0.0002295076,0.0000360675,0.00008747471,0.0001489023,0.00004769803],"domain_scores_gemma":[0.9982552,0.001246181,0.00008597899,0.0001591379,0.0002319439,0.00002147993],"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":[0.0002004549,0.00006288025,0.0004084626,0.0002233386,0.00008695202,0.00003361875,0.0001288721,0.4897036,0.006670096,0.03568837,0.003167424,0.4636259],"study_design_scores_gemma":[0.000008128754,0.0000115151,0.0001873855,0.000009166473,0.00000926481,0.00000812984,0.000004711262,0.9889659,0.001277334,0.008596874,0.000913846,0.000007704493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002502393,0.0003313444,0.996525,0.00003968145,0.00001630455,0.00001037232,0.00002176464,0.000254725,0.000298461],"genre_scores_gemma":[0.2484941,0.001035199,0.7450953,0.00005758341,0.00009715222,0.0002221721,0.000373875,0.0004042739,0.004220384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009711254,"threshold_uncertainty_score":0.01930946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198163337978921,"score_gpt":0.2402193444027133,"score_spread":0.2282377110229241,"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."}}