{"id":"W4211166753","doi":"10.1002/ente.202100942","title":"Battery Health Diagnosis Approach Integrating Physics‐Based Modeling with Electrochemical Impedance Spectroscopy","year":2022,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Dielectric spectroscopy; Lithium iron phosphate; Cobalt; Equivalent circuit; Electrochemical cell; Electrochemistry; Electrical impedance; Materials science; Scalability; Ohmic contact; Computer science; Voltage; Electrical engineering; Engineering; Nanotechnology; Chemistry; Physics; Electrode; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001155019,0.0003084741,0.0003926004,0.0004309601,0.0002480904,0.00001931972,0.0007812016,0.0001401638,0.00003457388],"category_scores_gemma":[0.00003253427,0.0003085449,0.00005347128,0.001502841,0.0001517963,0.00009028627,0.0003085844,0.001381274,0.000002132437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007866417,"about_ca_system_score_gemma":0.00009477811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002330129,"about_ca_topic_score_gemma":0.00001140928,"domain_scores_codex":[0.9978705,0.0000399512,0.0002871407,0.0005356236,0.0003229088,0.0009438947],"domain_scores_gemma":[0.9991054,0.00006170682,0.0000642331,0.000675033,0.00003504878,0.00005856346],"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":[0.00003510099,0.0001475506,0.0005952282,0.00006275489,0.00006678855,0.00002125545,0.00004247728,0.8688358,0.07920267,0.01624439,0.0004576829,0.03428828],"study_design_scores_gemma":[0.0003044627,0.0003380804,0.000001139719,0.00001720013,0.000003729875,0.00003409555,0.0003288734,0.7754112,0.2182647,0.003741213,0.001250838,0.0003044593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07224815,0.0008632767,0.9219749,0.001221093,0.00005033107,0.0001412958,0.00000832808,0.003032128,0.0004605205],"genre_scores_gemma":[0.9048502,0.000111224,0.092953,0.0002334863,0.00004272825,0.001650772,0.00004344066,0.0001020416,0.00001306527],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8326021,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067859626686428,"score_gpt":0.2420902918445856,"score_spread":0.2314116955777213,"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."}}