{"id":"W1522411093","doi":"10.1109/cdc.1999.832938","title":"Structure detection of NARMAX models using bootstrap methods","year":2003,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Parameterized complexity; Nonlinear system; Autoregressive–moving-average model; White noise; Autoregressive model; Noise (video); Control theory (sociology); Computer science; Moving average; System identification; Colors of noise; Algorithm; Mathematics; Model selection; Artificial intelligence; Statistics; Data modeling","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":[0.003220841,0.0008795706,0.0008905072,0.0009080414,0.0004345941,0.0006533976,0.0008045477,0.0009987206,0.001450354],"category_scores_gemma":[0.01950612,0.0004694736,0.000754634,0.0004630777,0.0004319896,0.001130261,0.001111121,0.001352532,0.0006374895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895341,"about_ca_system_score_gemma":0.0006059948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367979,"about_ca_topic_score_gemma":0.001281801,"domain_scores_codex":[0.9987224,0.0007438217,0.00006644186,0.0001408682,0.0002636583,0.00006276914],"domain_scores_gemma":[0.9938811,0.004512943,0.0005188231,0.0004404942,0.0005717364,0.00007488854],"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":[0.0004120848,0.0001728474,0.003847634,0.0001533846,0.0001944729,0.0002917669,0.000215983,0.6201174,0.01499128,0.0269299,0.001363178,0.3313101],"study_design_scores_gemma":[0.000005528937,0.00002330088,0.0002692911,0.000004221235,0.000003669897,0.00001749583,0.000006755125,0.9936172,0.001238049,0.004611156,0.0001962065,0.000007116174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01438164,0.00004517305,0.9848297,0.00004086852,0.000006987294,0.00002229159,0.00002744633,0.0004088835,0.0002369634],"genre_scores_gemma":[0.5432473,0.000150015,0.4545605,0.00007797502,0.000034959,0.0002526278,0.0005138339,0.0001670671,0.0009956342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003220841,"threshold_uncertainty_score":0.01703364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124330685476682,"score_gpt":0.294160027002919,"score_spread":0.2529167201481523,"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."}}