{"id":"W1988184773","doi":"10.1109/icma.2005.1626646","title":"A new identification algorithm for multi-input ARX systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Algorithm; Interval (graph theory); Identification (biology); Computer science; Iterative method; Interval data; System identification; Least-squares function approximation; Scheme (mathematics); Algorithm design; Estimation theory; Data modeling; Mathematics; Data mining","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":[0.000985672,0.0007140225,0.0007576828,0.0006266446,0.0004657857,0.0007812045,0.001097253,0.001177369,0.00317227],"category_scores_gemma":[0.002140542,0.0003605406,0.000652628,0.0006287441,0.0005137503,0.001629444,0.0009453453,0.001386021,0.00141327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004061065,"about_ca_system_score_gemma":0.000638187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008088035,"about_ca_topic_score_gemma":0.0007474882,"domain_scores_codex":[0.9992133,0.000133157,0.00005055746,0.0002105165,0.0003470078,0.00004546595],"domain_scores_gemma":[0.9993386,0.0002086725,0.00007673352,0.00008765415,0.0002620146,0.00002645388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001342662,0.0000658264,0.0006442991,0.0002956197,0.0001041589,0.0001592226,0.0002252565,0.2236083,0.03302072,0.04876735,0.00401507,0.68896],"study_design_scores_gemma":[0.00002177387,0.00007512303,0.0002632083,0.00001407313,0.00001641222,0.0001920424,0.00001164039,0.9785453,0.00629485,0.005218743,0.009317915,0.00002899772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008062516,0.0000761349,0.9984572,0.00002750734,0.00004034388,0.00001083781,0.00000765749,0.0001576862,0.0004163808],"genre_scores_gemma":[0.07959352,0.0002786269,0.9154912,0.0001038456,0.0001294681,0.0001523164,0.00009664478,0.00009150205,0.004062889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00317227,"threshold_uncertainty_score":0.01061231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352474546585201,"score_gpt":0.2221625552430969,"score_spread":0.2086378097772449,"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."}}