{"id":"W3158912907","doi":"10.1016/j.ensm.2021.04.035","title":"Unlocking the self-supported thermal runaway of high-energy lithium-ion batteries","year":2021,"lang":"en","type":"article","venue":"Energy storage materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":204,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Postdoctoral Program for Innovative Talents; Office of Science; China Postdoctoral Science Foundation; Argonne National Laboratory; Tsinghua University; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Thermal runaway; Exothermic reaction; Materials science; Cathode; Anode; Electrolyte; Lithium (medication); Ethylene carbonate; Battery (electricity); Oxygen; Heat generation; Chemical engineering; Thermodynamics; Chemistry; Electrode; Organic chemistry; Physical chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001522183,0.0002997235,0.0002529089,0.0001833002,0.0003275259,0.0006742708,0.0007008463,0.00033957,0.004641665],"category_scores_gemma":[0.0004741735,0.0002041915,0.0001677933,0.0001352013,0.0005444486,0.001238451,0.0009356349,0.000759444,0.0009427714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885728,"about_ca_system_score_gemma":0.0001699176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168457,"about_ca_topic_score_gemma":0.0007117768,"domain_scores_codex":[0.9999013,0.000006974163,0.000005249885,0.00001585431,0.00004001415,0.00003061967],"domain_scores_gemma":[0.9998854,0.00003027715,0.00001847395,0.00002573962,0.00002176746,0.00001820407],"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":[0.0006062617,0.0001438554,0.0007324442,0.0007384628,0.00003419081,0.0003272802,0.0004257021,0.003646761,0.9180723,0.01971871,0.002653675,0.05290042],"study_design_scores_gemma":[0.00006804412,0.0004438837,0.001133291,0.00006609835,0.00002703822,0.0001836277,0.0002457126,0.02807537,0.9403471,0.005981548,0.02336963,0.00005864126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538901,0.005896377,0.01616262,0.0006031496,0.0007548255,0.00003034341,0.0001110528,0.0008068194,0.02174468],"genre_scores_gemma":[0.9949303,0.0008069189,0.0009724681,0.00009904276,0.00004978972,0.0000117161,0.00005099364,0.00007078484,0.003007942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004641665,"threshold_uncertainty_score":0.01552784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00798429469290906,"score_gpt":0.2031821013690759,"score_spread":0.1951978066761668,"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."}}