{"id":"W2084059661","doi":"10.1149/2.030401jes","title":"Comparative Study of Vinyl Ethylene Carbonate (VEC) and Vinylene Carbonate (VC) in LiCoO<sub>2</sub>/Graphite Pouch Cells Using High Precision Coulometry and Electrochemical Impedance Spectroscopy Measurements on Symmetric Cells","year":2013,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Ethylene carbonate; Diethyl carbonate; Coulometry; Dielectric spectroscopy; Dimethyl carbonate; Electrolyte; Electrode; Electrochemistry; Chemistry; Carbonate; Analytical Chemistry (journal); Cyclic voltammetry; Inorganic chemistry; Materials science; Organic chemistry; Physical chemistry; Catalysis","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":[0.0004863446,0.0002552012,0.0004272293,0.0002302901,0.000182675,0.0007054262,0.0004672414,0.0005012758,0.0006914736],"category_scores_gemma":[0.001267668,0.0001607658,0.0002253598,0.0004698479,0.0002694221,0.0005649132,0.0002352284,0.0003108149,0.0001092103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458415,"about_ca_system_score_gemma":0.0002745031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275334,"about_ca_topic_score_gemma":0.002338993,"domain_scores_codex":[0.999211,0.0001676659,0.00009230161,0.0001338431,0.0003081078,0.00008698978],"domain_scores_gemma":[0.9991567,0.0002690896,0.0001445596,0.00006052353,0.0002943006,0.00007479019],"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":[0.0003295161,0.00004450571,0.0009389281,0.0001501372,0.00001986766,0.00007855669,0.00004502694,0.0003350692,0.9924846,0.00008141592,0.00003699808,0.005455399],"study_design_scores_gemma":[0.000006436681,0.0004127603,0.002314694,0.000006130969,0.00002025957,0.00006856522,0.00004743562,0.001041804,0.9954058,0.00001606658,0.0006542788,0.000005862756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951528,0.001912704,0.001753747,0.00006227209,0.00003605858,0.00002219778,0.0001081128,0.00002617464,0.0009259394],"genre_scores_gemma":[0.9965474,0.0007184044,0.001888917,0.0000403665,0.00001071408,0.00001295889,0.0001247026,0.000009682573,0.0006468567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001275334,"threshold_uncertainty_score":0.00257206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392513937173506,"score_gpt":0.2469280272374156,"score_spread":0.2330028878656806,"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."}}