{"id":"W2014611587","doi":"10.1016/j.jpowsour.2014.02.004","title":"A theoretical and computational study of lithium-ion battery thermal management for electric vehicles using heat pipes","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computational fluid dynamics; Battery pack; Battery (electricity); Heat pipe; Thermal; Materials science; Lithium-ion battery; Forced convection; Heat generation; Transient (computer programming); Convection; Mechanics; Lithium (medication); Thermodynamics; Mechanical engineering; Heat transfer; Nuclear engineering; Engineering; Power (physics); Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006033633,0.0005754489,0.000940904,0.0007647783,0.001307191,0.001616012,0.001668691,0.002009394,0.008616533],"category_scores_gemma":[0.003116135,0.000693132,0.0009900173,0.0007150147,0.00238504,0.002098093,0.001114657,0.001323837,0.0003496402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308241,"about_ca_system_score_gemma":0.001544271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.016451,"about_ca_topic_score_gemma":0.01118644,"domain_scores_codex":[0.9997992,0.00007970074,0.000006955637,0.00002158414,0.0000455094,0.00004715084],"domain_scores_gemma":[0.9989091,0.000827441,0.00004815615,0.00004532022,0.0001210392,0.00004900733],"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":[0.00002683819,0.0000745853,0.0003686774,0.00005804412,0.000009783442,0.00006975012,0.00005309073,0.9338264,0.0003038134,0.06293405,0.0006479672,0.001626931],"study_design_scores_gemma":[0.000007844092,0.000007119535,0.00008924623,0.000005081948,0.00000304282,0.000005890864,0.00002966668,0.993694,0.00005209621,0.005827931,0.0002748679,0.000003227909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4878086,0.003884804,0.2300806,0.006623992,0.0006263762,0.0002253858,0.0005355693,0.0002470198,0.2699677],"genre_scores_gemma":[0.9772529,0.0007076887,0.008058496,0.0001823664,0.0001314202,0.00009175311,0.00006646284,0.00006684959,0.01344199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016451,"threshold_uncertainty_score":0.03271049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057430480689589,"score_gpt":0.2637327034002528,"score_spread":0.2531583985933569,"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."}}