{"id":"W4383312541","doi":"10.1016/j.icheatmasstransfer.2023.106907","title":"Computational modelling and statistical evaluation of thermal runaway safety regime response on lithium-ion battery with different cathodic chemistry and varying ambient condition","year":2023,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Battery (electricity); Nuclear engineering; Thermal; Materials science; Mechanics; Environmental science; Lithium (medication); Thermodynamics; Physics; Engineering","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":[0.0002794871,0.000312943,0.0004584529,0.0003209411,0.0004800558,0.0005676364,0.0006654238,0.0006784652,0.002425704],"category_scores_gemma":[0.001280213,0.0002054762,0.0005960535,0.0003719986,0.0003842183,0.0003899048,0.0002476797,0.0005145712,0.0001535852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783676,"about_ca_system_score_gemma":0.0005283945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137126,"about_ca_topic_score_gemma":0.008739367,"domain_scores_codex":[0.9999323,0.00001523952,0.000003531849,0.00001365728,0.00001698522,0.00001826975],"domain_scores_gemma":[0.9990588,0.0006779883,0.00004737607,0.00004580842,0.0001450705,0.00002495392],"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":[0.00005608808,0.00003661574,0.001230558,0.00003983143,0.00001162477,0.00004659657,0.00001883719,0.9948097,0.001142765,0.0008386545,0.0002762309,0.001492353],"study_design_scores_gemma":[0.000001366045,0.00001075372,0.0003297019,8.868907e-7,0.000001981622,0.00000304039,0.000007241688,0.9991906,0.0002980475,0.0001249653,0.00002945112,0.000001958188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795664,0.0001732407,0.01303396,0.0002631334,0.00003871554,0.00002048289,0.0003990865,0.0001586515,0.006346252],"genre_scores_gemma":[0.9982822,0.0000334323,0.0007692681,0.00001358711,0.000005846016,0.00001507888,0.0001466251,0.00001424549,0.0007196921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137126,"threshold_uncertainty_score":0.02726555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04903526027387083,"score_gpt":0.3260649241897262,"score_spread":0.2770296639158554,"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."}}