{"id":"W2767205293","doi":"10.1149/2.0241714jes","title":"Calendar Aging and Gas Generation in Commercial Graphite/NMC-LMO Lithium-Ion Pouch Cell","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacity loss; Graphite; Lithium (medication); Ion; Electrode; Chemistry; Battery (electricity); Self-discharge; Depth of discharge; Materials science; Pouch; Degradation (telecommunications); Analytical Chemistry (journal); Electrochemistry; Composite material; Electrical engineering; Electrolyte; Thermodynamics; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002748666,0.0002208254,0.0003085421,0.0004926898,0.000240832,0.0003835594,0.0003597914,0.0004296643,0.0007992488],"category_scores_gemma":[0.0006009996,0.0001148155,0.0001787515,0.0006126699,0.0002158169,0.0004467051,0.0002473144,0.0002083288,0.0001603745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492763,"about_ca_system_score_gemma":0.0001604199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363901,"about_ca_topic_score_gemma":0.001868122,"domain_scores_codex":[0.9997973,0.00002071164,0.00002352653,0.00005191011,0.00006761508,0.00003902263],"domain_scores_gemma":[0.9997751,0.00004029229,0.00005554194,0.00002890015,0.0000741996,0.00002593376],"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":[0.001130921,0.0000679295,0.01054253,0.0001872534,0.00002999573,0.0006031296,0.0001717552,0.001754464,0.9706096,0.00008697658,0.000163306,0.01465219],"study_design_scores_gemma":[0.00001864115,0.00114263,0.0506858,0.00002285729,0.00005138468,0.0006078837,0.0001847859,0.006597579,0.9388639,0.00007153343,0.001714042,0.00003894966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987501,0.0005155726,0.0002869776,0.00001501865,0.000008611597,0.00000578157,0.0001902665,0.00003217889,0.0001956343],"genre_scores_gemma":[0.9990368,0.0001636369,0.0003045464,0.00001106469,0.00000253264,0.000005936165,0.000200704,0.000006752239,0.0002681995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001363901,"threshold_uncertainty_score":0.002711892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111865099648457,"score_gpt":0.2431120444524093,"score_spread":0.2319933934559247,"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."}}