{"id":"W324708294","doi":"10.1016/j.jpowsour.2015.04.154","title":"Parameter estimation of an electrochemistry-based lithium-ion battery model","year":2015,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Homotopy; Algebraic equation; Differential algebraic equation; Lithium-ion battery; Ordinary differential equation; Control theory (sociology); Embedding; Applied mathematics; Electrical phenomena; Lithium (medication); Computer science; Mathematical optimization; Mathematics; Differential equation; Mathematical analysis; Physics; Engineering; Thermodynamics; Nonlinear system; Power (physics); Electrical engineering","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":[0.000260257,0.0001071406,0.0001954072,0.0001801752,0.00001415781,0.00002377261,0.0002850665,0.00009947291,0.00001218338],"category_scores_gemma":[0.0002298085,0.00009242888,0.0000594816,0.0001363421,0.00005558396,0.0003038145,0.00002179903,0.000318199,0.0000026356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009358392,"about_ca_system_score_gemma":0.00005305266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.130437e-7,"about_ca_topic_score_gemma":2.576878e-7,"domain_scores_codex":[0.9990363,0.00001788495,0.0003286111,0.00006517427,0.0003636108,0.0001884259],"domain_scores_gemma":[0.9993304,0.0000599122,0.0001427072,0.0002030143,0.0001687103,0.00009524597],"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":[0.0000469602,0.00003472052,0.0001566976,0.00003308251,0.00002098164,0.000006500247,0.0002168321,0.9038154,0.09239867,0.000004056166,0.0004643199,0.002801735],"study_design_scores_gemma":[0.0003010507,0.000220495,0.00006217726,0.00003668496,0.000007795695,0.00002434681,0.0001594136,0.5306837,0.4668985,0.001397968,0.0001254298,0.00008244201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6980698,0.0001309086,0.301465,0.00008788479,0.00004728072,0.00002744342,0.000001817011,0.00004976275,0.0001201431],"genre_scores_gemma":[0.9582098,0.000006115467,0.04168886,0.0000233043,0.0000282095,0.000001736887,0.000001849644,0.00002026915,0.0000199193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744998,"threshold_uncertainty_score":0.376914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056281567339685,"score_gpt":0.2750301978350387,"score_spread":0.2544673821616418,"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."}}