{"id":"W4200034447","doi":"10.1002/eem2.12326","title":"Diagnosing Battery Degradation via Gas Analysis","year":2021,"lang":"en","type":"article","venue":"Energy & environment materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Institute of Infection and Immunity; Bundesministerium für Bildung und Forschung","keywords":"Battery (electricity); Degradation (telecommunications); Original equipment manufacturer; Lithium-ion battery; Process engineering; Lithium (medication); Mass spectrometry; Gas analysis; Computer science; Materials science; Chemistry; Engineering; Chromatography; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000143168,0.0002652439,0.0004253297,0.000120109,0.00007058168,0.0001093031,0.0001318255,0.00008754105,0.01346871],"category_scores_gemma":[0.000009128668,0.0002937244,0.00006323278,0.0001532341,0.00003331766,0.0002463026,0.0000779188,0.00003364762,0.0001939706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302583,"about_ca_system_score_gemma":0.000004332078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002335843,"about_ca_topic_score_gemma":0.000006990733,"domain_scores_codex":[0.9984503,0.0001200251,0.0005063738,0.0003479319,0.0002382412,0.0003371023],"domain_scores_gemma":[0.9992919,0.00005097341,0.00008681398,0.0004970903,0.000007260231,0.00006597821],"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":[0.000004645838,0.00003316181,0.0006491847,0.00002070664,0.0003522645,0.00003853022,0.00002325034,0.09074857,0.9032462,0.00005331979,0.0002620045,0.004568133],"study_design_scores_gemma":[0.0001672391,0.000009425266,0.005273745,0.00001343315,0.0002598324,0.000006333179,0.000009673915,0.0002658312,0.986738,0.0003218964,0.006624079,0.0003104642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894981,0.0002312743,0.103108,0.00007392932,0.001056365,0.00005448398,0.00006319022,0.0001574321,0.0002743641],"genre_scores_gemma":[0.9934834,0.0007126817,0.004022101,0.0002691301,0.000256623,0.00005845306,0.0007805204,0.00005553644,0.0003615259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0990859,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007028342423839012,"score_gpt":0.1899272404750015,"score_spread":0.1828988980511624,"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."}}