{"id":"W2293614296","doi":"10.4271/2016-01-0655","title":"Numerical Investigation of Active and Passive Cooling Systems of a Lithium-Ion Battery Module for Electric Vehicles","year":2016,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ontario Trillium Foundation","keywords":"Battery (electricity); Lithium (medication); Automotive engineering; Ion; Nuclear engineering; Electrical engineering; Lithium-ion battery; Materials science; Aerospace engineering; Computer science; Engineering; Mechanical engineering; Environmental science; Physics; Power (physics); Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003394124,0.0003880678,0.000546841,0.0004402484,0.0006746375,0.0007947229,0.0006050493,0.001218587,0.00242511],"category_scores_gemma":[0.001267627,0.0003344896,0.0005419054,0.0003447952,0.0006348687,0.0005504267,0.0004514152,0.0004872548,0.0001596369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009583589,"about_ca_system_score_gemma":0.0009756032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201082,"about_ca_topic_score_gemma":0.01048011,"domain_scores_codex":[0.999905,0.00002692979,0.000004344672,0.00001557637,0.00002331348,0.00002479855],"domain_scores_gemma":[0.9995732,0.0002508231,0.00004557355,0.00001741169,0.00008193645,0.00003111437],"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":[0.00006541167,0.0000359913,0.001235596,0.0000431393,0.000008336442,0.00007964895,0.00003093361,0.9938657,0.001994031,0.0009331486,0.0002065501,0.001501568],"study_design_scores_gemma":[0.000007085167,0.00002124348,0.0001862114,0.000002334371,0.000002390638,0.000004970772,0.00001584183,0.9992218,0.0003466588,0.00008639415,0.0001026764,0.000002391234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922768,0.000591619,0.05424693,0.0006979518,0.00008925368,0.000103743,0.0003041893,0.000219804,0.02097855],"genre_scores_gemma":[0.9932004,0.00008932432,0.003907279,0.00002634666,0.000005528336,0.00004635773,0.00006368009,0.00001429965,0.002646817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0201082,"threshold_uncertainty_score":0.03998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426423692670958,"score_gpt":0.2480014198197216,"score_spread":0.233737182893012,"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."}}