{"id":"W4388744182","doi":"10.4271/14-13-03-0017","title":"Battery Thermal Runaway Preventive Time Delay Strategy Using Different Melting Point Phase Change Materials","year":2023,"lang":"en","type":"article","venue":"SAE International Journal of Electrified Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overheating (electricity); Thermal runaway; Phase-change material; Battery (electricity); Lithium iron phosphate; Nuclear engineering; Melting point; Materials science; Trickle charging; Thermal; Automotive engineering; Lead–acid battery; Lithium-ion battery; Environmental science; Electrical engineering; Thermodynamics; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125367,0.0003222257,0.0002951861,0.0002774677,0.0001823676,0.0003039406,0.0006401562,0.0002427505,0.0009470436],"category_scores_gemma":[0.0002477182,0.0001219374,0.0002444597,0.0002236135,0.0001308186,0.0006600482,0.0002717538,0.0002936638,0.0002401022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624214,"about_ca_system_score_gemma":0.0002473602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004051026,"about_ca_topic_score_gemma":0.0007739103,"domain_scores_codex":[0.9999181,0.000003569905,0.000006110915,0.00002296096,0.00002566246,0.00002367541],"domain_scores_gemma":[0.9998777,0.00001331931,0.00003753544,0.00001308629,0.0000408592,0.00001740024],"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":[0.0008287449,0.0002250676,0.0009612308,0.0002468492,0.00002167861,0.0002362245,0.00007353698,0.006218285,0.9397904,0.0005658835,0.0003269612,0.05050511],"study_design_scores_gemma":[0.00003507865,0.0009918809,0.001168854,0.000007804019,0.00003707348,0.0001260192,0.00004821773,0.02014152,0.9754763,0.0001425004,0.001809644,0.00001507287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671676,0.001944644,0.02694453,0.0001149825,0.00008531479,0.00008610011,0.00008149167,0.0006011594,0.002974129],"genre_scores_gemma":[0.994042,0.0003326603,0.004763499,0.00002850779,0.000007060306,0.00002936359,0.00004009235,0.0000165165,0.000740274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009470436,"threshold_uncertainty_score":0.003168225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558397822273905,"score_gpt":0.3308850036660967,"score_spread":0.2853010254433577,"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."}}