{"id":"W4377227433","doi":"10.1016/j.compchemeng.2023.108294","title":"Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics","year":2023,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial Oil (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ode; Noise (video); Nonlinear system; System identification; Computer science; Identification (biology); Fidelity; Algorithm; Mathematics; Artificial intelligence; Data mining; Applied mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005331521,0.0005148714,0.0005467169,0.0003984663,0.0003034333,0.0007062676,0.0005395637,0.0006160141,0.001392085],"category_scores_gemma":[0.0023683,0.0002905348,0.0004005582,0.0005466903,0.0006006657,0.001432715,0.001486695,0.0008527495,0.0003185591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464616,"about_ca_system_score_gemma":0.0005520018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141783,"about_ca_topic_score_gemma":0.00194913,"domain_scores_codex":[0.9996063,0.0001102897,0.00002050995,0.00007941513,0.0001506069,0.0000329357],"domain_scores_gemma":[0.9994822,0.0001990501,0.00005844334,0.0001205346,0.0001134115,0.00002633002],"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":[0.0006100744,0.0001444998,0.001550175,0.0003052859,0.0001424753,0.0002435678,0.0004441871,0.4039619,0.1032271,0.1309919,0.001904083,0.3564747],"study_design_scores_gemma":[0.000006958996,0.00003031331,0.0001692926,0.000006393764,0.000008392134,0.00005304574,0.00001325757,0.9857588,0.00560357,0.007586381,0.0007540744,0.000009584611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01857529,0.00008558351,0.9800837,0.00008762384,0.00004394028,0.00001368681,0.00002235129,0.00009066728,0.0009971772],"genre_scores_gemma":[0.5795857,0.0002608246,0.4149224,0.00009642368,0.00005659198,0.00006904786,0.0001581354,0.00007485245,0.00477606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001392085,"threshold_uncertainty_score":0.00465703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147035298092273,"score_gpt":0.2200597729081745,"score_spread":0.2129127376100822,"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."}}