{"id":"W4376456767","doi":"10.2316/j.2023.206-0879","title":"AN ADAPTIVE FORMULATION OF THE SMOOTH VARIABLE STRUCTURE FILTER BASED ON STATIC MULTIPLE MODELS, 1-10.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variable (mathematics); Computer science; Filter (signal processing); Control theory (sociology); Mathematics; Artificial intelligence; Mathematical analysis; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003224211,0.0005293881,0.0003498193,0.0002992019,0.0001619337,0.0004578455,0.0005440465,0.0007871106,0.002781317],"category_scores_gemma":[0.0005949445,0.0001991605,0.0004515731,0.0003691211,0.0003217756,0.0006072341,0.0003404792,0.0007685126,0.0006278076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363667,"about_ca_system_score_gemma":0.000678396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807888,"about_ca_topic_score_gemma":0.003643362,"domain_scores_codex":[0.9998198,0.00003583845,0.00001026041,0.00004744311,0.00007575337,0.0000109288],"domain_scores_gemma":[0.9998837,0.00003339889,0.00001868091,0.00001295237,0.00004542873,0.000005833778],"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":[0.00009007232,0.00005531573,0.0007658784,0.0003598748,0.00007688975,0.000150661,0.0001151454,0.5319217,0.03259313,0.1046825,0.005241731,0.3239471],"study_design_scores_gemma":[0.000006189481,0.00005992558,0.0002042957,0.00001054106,0.00001038835,0.00004609963,0.000006261258,0.985845,0.001654911,0.005151958,0.006995045,0.000009397433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00123137,0.0002598093,0.9969519,0.00005214055,0.00007006809,0.00001560535,0.0000325084,0.00007445576,0.00131201],"genre_scores_gemma":[0.2923046,0.002040353,0.6875233,0.0001676727,0.0003923904,0.0002671344,0.000465248,0.00008357901,0.01675567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002807888,"threshold_uncertainty_score":0.009304404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256791954560985,"score_gpt":0.2751385646012725,"score_spread":0.2525706450556626,"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."}}