{"id":"W3111766455","doi":"10.3390/batteries6040061","title":"Mathematical Heat Transfer Modeling and Experimental Validation of Lithium-Ion Battery Considering: Tab and Surface Temperature, Separator, Electrolyte Resistance, Anode-Cathode Irreversible and Reversible Heat","year":2020,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anode; Separator (oil production); Electrolyte; Cathode; Materials science; Battery (electricity); Internal resistance; Lithium-ion battery; Heat transfer; Nuclear engineering; Heat generation; Lithium (medication); Thermal resistance; Analytical Chemistry (journal); Composite material; Thermodynamics; Chemistry; Electrode; Power (physics); Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004334213,0.0004930067,0.0004486499,0.0004032841,0.0003583833,0.000729745,0.0009324921,0.000614965,0.001909201],"category_scores_gemma":[0.00102304,0.0001918406,0.0006962015,0.0005410054,0.000459274,0.001043756,0.0003319299,0.0004810212,0.0003802507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006532304,"about_ca_system_score_gemma":0.0005827364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080702,"about_ca_topic_score_gemma":0.00150351,"domain_scores_codex":[0.9998351,0.00003215468,0.00001363487,0.00003317639,0.00006762466,0.00001831407],"domain_scores_gemma":[0.9996977,0.0001417679,0.00002712391,0.00002942574,0.00009944733,0.00000455457],"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":[0.00006326642,0.00007351825,0.001294216,0.0002015216,0.00001164867,0.00006960481,0.00008615037,0.9572353,0.02799679,0.00422454,0.0002972399,0.008446273],"study_design_scores_gemma":[0.00000618479,0.0000467365,0.0003318739,0.000007867072,0.000005572523,0.00001782938,0.00001988302,0.9823125,0.01593316,0.0006255016,0.0006856204,0.000007204932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5614932,0.001080514,0.4066043,0.0005108112,0.0001149111,0.0002462186,0.001065499,0.001014369,0.02787025],"genre_scores_gemma":[0.9850485,0.0004321702,0.01045552,0.00001925217,0.000009792051,0.0001681813,0.0002284481,0.00003476262,0.003603348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003080702,"threshold_uncertainty_score":0.006386876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469469747519785,"score_gpt":0.2544577390368519,"score_spread":0.2297630415616541,"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."}}