{"id":"W2060393728","doi":"10.1063/1.3657919","title":"Nonlinear systems identification by combining regression with bootstrap resampling","year":2011,"lang":"en","type":"article","venue":"Chaos An Interdisciplinary Journal of Nonlinear Science","topic":"Control Systems and Identification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Resampling; Computer science; Nonlinear system; Identification (biology); Estimation; Regression; Series (stratigraphy); Chaotic; Estimation theory; Bootstrap aggregating; Nonlinear regression; Regression analysis; Data mining; Algorithm; Mathematics; Machine learning; Statistics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001448836,0.0002006609,0.0003098602,0.0003838217,0.00041011,0.0002768205,0.0007581583,0.00006931206,0.00001652014],"category_scores_gemma":[0.00002690363,0.0001487177,0.00007276186,0.0004937574,0.0002385373,0.001685989,0.0001050447,0.0003077964,0.00001158179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341188,"about_ca_system_score_gemma":0.00008993249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001542116,"about_ca_topic_score_gemma":0.000007893747,"domain_scores_codex":[0.9978915,0.00004275862,0.0008747093,0.0002816766,0.0005974649,0.0003118363],"domain_scores_gemma":[0.998273,0.00002614834,0.0005096077,0.00042533,0.0005217617,0.0002441653],"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":[0.0004625533,0.0006834585,0.002265576,0.0003170837,0.0001346255,0.0001103413,0.01714863,0.009004558,0.9566348,0.0002367831,0.001435776,0.01156578],"study_design_scores_gemma":[0.001248839,0.001332436,0.005288376,0.001754428,0.00007886887,0.0009484306,0.00957056,0.9356878,0.04266604,0.0001445355,0.000644153,0.0006354877],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579416,0.0006574725,0.03895553,0.00004094794,0.001682428,0.0002048264,0.00001755549,0.00007599117,0.0004236489],"genre_scores_gemma":[0.9967898,0.00003682754,0.002708868,0.000003664978,0.0003167518,0.000006258464,0.000009173509,0.00003276273,0.00009589982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9266833,"threshold_uncertainty_score":0.6064532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601143198021975,"score_gpt":0.2980862788197988,"score_spread":0.262074846839579,"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."}}