{"id":"W4394934408","doi":"10.1149/1945-7111/ad405e","title":"A Robust Model Order Reduction Scheme for Lithium-Ion Batteries in Control-Oriented Vehicle Models","year":2024,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reduction (mathematics); Lithium (medication); Scheme (mathematics); Ion; Model order reduction; Order (exchange); Automotive engineering; Computer science; Control theory (sociology); Materials science; Control (management); Chemistry; Engineering; Algorithm; Mathematics; Artificial intelligence; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000339271,0.0001293184,0.0002326444,0.00002637963,0.00004883169,0.00005681709,0.0001676742,0.0001367889,0.000001837407],"category_scores_gemma":[0.00002134992,0.00009361238,0.0003415428,0.0002625078,0.00002654716,0.0002200163,0.00001512333,0.0004833869,3.910019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127379,"about_ca_system_score_gemma":0.00006675362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002697484,"about_ca_topic_score_gemma":0.000001527716,"domain_scores_codex":[0.9990126,0.00001640267,0.0003897365,0.0001143671,0.0001983577,0.0002685429],"domain_scores_gemma":[0.9996087,0.00004280963,0.00006355003,0.0001054697,0.0001300463,0.0000494426],"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":[0.00005593198,0.0000212285,0.00001135405,0.00008303284,0.0001257293,3.788863e-7,0.0003456225,0.1628938,0.8342081,0.0007247045,0.001359667,0.0001704733],"study_design_scores_gemma":[0.0007357408,0.00003379475,0.000005339462,0.000108843,0.00003602909,0.00003025069,0.00006913778,0.9808555,0.01466126,0.003051623,0.0003108556,0.0001016801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3311695,0.001492358,0.6650729,0.001552045,0.0004014373,0.0001954927,0.000006479279,0.00005418917,0.00005560971],"genre_scores_gemma":[0.9944932,0.00008903084,0.004820824,0.00007203243,0.0003548062,0.00002319065,0.000001704975,0.00003245539,0.0001127234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8195468,"threshold_uncertainty_score":0.3817402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008732410698093487,"score_gpt":0.2026100427165695,"score_spread":0.193877632018476,"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."}}