{"id":"W4402299275","doi":"10.1016/j.ifacol.2024.08.327","title":"Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Lithium (medication); Estimation; Ion; Computer science; Environmental science; Chemistry; Engineering; Medicine; Systems engineering; Internal medicine","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":[0.0001310882,0.0001736603,0.0002225955,0.0001792117,0.00003348914,0.00005340224,0.00052013,0.0001176524,0.000213141],"category_scores_gemma":[0.000156483,0.0001598218,0.00003974169,0.0003384037,0.0001413354,0.0006697766,0.0002640567,0.000369635,0.00008181115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021348,"about_ca_system_score_gemma":0.00001923749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002302699,"about_ca_topic_score_gemma":0.00001980385,"domain_scores_codex":[0.9989107,0.000016509,0.0002634474,0.0002989052,0.0002295407,0.0002809554],"domain_scores_gemma":[0.9991386,0.0001228462,0.00002192863,0.0006404586,0.00003470238,0.00004145263],"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":[0.00004013767,0.00008249186,0.0003366569,0.002248125,0.0003119328,0.00006551769,0.001409613,0.259182,0.3875523,0.0006635055,0.0009184792,0.3471892],"study_design_scores_gemma":[0.00009225284,0.00005109058,0.0001114752,0.0002433622,0.00001685372,0.0000149932,0.0001350843,0.9493417,0.04597934,0.0002771991,0.003560012,0.0001767103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7186362,0.001562055,0.2705264,0.001305369,0.0009626263,0.0003995557,0.001130467,0.002837314,0.002639982],"genre_scores_gemma":[0.7402865,0.0001792166,0.2588718,0.00001972463,0.00007041085,0.00001624308,0.0002569615,0.00004278593,0.0002563373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6901596,"threshold_uncertainty_score":0.6517344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034184452824465,"score_gpt":0.297272866365534,"score_spread":0.263088413541069,"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."}}