{"id":"W4391640232","doi":"10.1149/ma2023-023445mtgabs","title":"Quantifying the Effects of Temperature and Depth of Discharge on Li-Ion Battery Heat Generation: An Assessment of Resistance Models for Accurate Thermal Behavior Prediction","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Thermal; Materials science; Ion; Heat generation; Thermal resistance; Nuclear engineering; Environmental science; Thermodynamics; Chemistry; Engineering; Physics","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":[0.0004025932,0.0001265372,0.0001844788,0.0001088508,0.00009126021,0.00002019502,0.0001416954,0.0001054362,6.35871e-7],"category_scores_gemma":[0.000140668,0.00009844756,0.00003433158,0.0001797134,0.00005276404,0.0002186335,0.00003758112,0.0002156741,1.789732e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003128851,"about_ca_system_score_gemma":0.00001493348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004634696,"about_ca_topic_score_gemma":0.00001559395,"domain_scores_codex":[0.9990171,0.00004128858,0.0003206869,0.0001819541,0.0002384108,0.0002006183],"domain_scores_gemma":[0.9991336,0.0003967506,0.00009154792,0.0002769608,0.00007498391,0.00002609377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001029944,0.00002014928,0.0007755124,0.000372683,0.0000107869,0.000001170079,0.0001030827,0.4179117,0.5804504,0.00001238827,0.00004644145,0.0002854112],"study_design_scores_gemma":[0.0002387068,0.0001360353,0.07303179,0.000335721,0.00001596374,6.455055e-7,0.0001564461,0.1530505,0.7729253,0.00002745856,0.00000462142,0.00007683184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99827,0.0001381648,0.0003827272,0.00005888264,0.0001985323,0.0005429016,0.00005032391,0.0001466055,0.0002118023],"genre_scores_gemma":[0.9984197,0.0001015221,0.001201527,0.000003636447,0.00005970903,0.0001296684,0.00003934126,0.00003073047,0.00001414022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2648611,"threshold_uncertainty_score":0.4014575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866028663366841,"score_gpt":0.33575713567301,"score_spread":0.2870968490393416,"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."}}