{"id":"W4391871086","doi":"10.1016/j.jpowsour.2024.234111","title":"Battery safety: Fault diagnosis from laboratory to real world","year":2024,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Fault (geology); Forensic engineering; Engineering; Automotive engineering; Reliability engineering; Computer security; Computer science; Environmental science; Power (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":[0.001353794,0.001109378,0.001158312,0.002365537,0.000474129,0.002727613,0.001863581,0.001784019,0.001676475],"category_scores_gemma":[0.004390354,0.0003769968,0.000654965,0.001505111,0.00171323,0.004063949,0.001625177,0.001397116,0.0007172962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618088,"about_ca_system_score_gemma":0.001228551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003912818,"about_ca_topic_score_gemma":0.003292746,"domain_scores_codex":[0.9991896,0.0001728642,0.00006489793,0.0001844862,0.0003341394,0.00005405552],"domain_scores_gemma":[0.9976696,0.001099473,0.0002771497,0.000242936,0.0006315961,0.00007917952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003104801,0.0002330839,0.02379945,0.008840434,0.000428086,0.001076394,0.0008073096,0.1087616,0.01987703,0.07045592,0.03430726,0.7311031],"study_design_scores_gemma":[0.0000701821,0.0005544429,0.0174086,0.003590217,0.0005038065,0.003018325,0.002465582,0.4223876,0.04350365,0.3392335,0.1669687,0.0002954306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05023579,0.1901925,0.702689,0.01522612,0.001867364,0.0003042689,0.002764352,0.004596905,0.03212368],"genre_scores_gemma":[0.7718114,0.1088643,0.1079876,0.003416302,0.001548913,0.0002624413,0.001917649,0.0002553469,0.003936045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003912818,"threshold_uncertainty_score":0.01174009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045402784690583,"score_gpt":0.2699490304026821,"score_spread":0.2594950025557763,"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."}}