{"id":"W2770041546","doi":"10.1149/2.0421714jes","title":"An Analysis of Artificial and Natural Graphite in Lithium Ion Pouch Cells Using Ultra-High Precision Coulometry, Isothermal Microcalorimetry, Gas Evolution, Long Term Cycling and Pressure Measurements","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coulometry; Faraday efficiency; Electrolyte; Isothermal microcalorimetry; Graphite; Lithium (medication); Isothermal process; Analytical Chemistry (journal); Chemistry; Electrode; Electrochemistry; Materials science; Chemical engineering; Chromatography; Thermodynamics; Organic chemistry","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":[0.0003309892,0.0002594683,0.0002226738,0.0005516956,0.0001851495,0.0003908694,0.0003170475,0.0004327414,0.0003569683],"category_scores_gemma":[0.0006124142,0.0001060994,0.0001922348,0.0006699114,0.0002561688,0.0003081444,0.0001884054,0.0002434159,0.0001114681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657521,"about_ca_system_score_gemma":0.0001657267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007009145,"about_ca_topic_score_gemma":0.00102659,"domain_scores_codex":[0.9995659,0.0000880018,0.00003758487,0.00006240215,0.0002123862,0.00003375409],"domain_scores_gemma":[0.9997198,0.0001073607,0.00004232437,0.00003378911,0.0000755433,0.00002119791],"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":[0.00009724331,0.00002078777,0.002401561,0.0000548096,0.00001061135,0.00008391897,0.00005491314,0.0001551875,0.9924672,0.00006447712,0.0000247248,0.004564404],"study_design_scores_gemma":[0.000003985865,0.0002331445,0.01436831,0.000007396396,0.00001580315,0.0001973101,0.00008444522,0.001763876,0.9824783,0.00004958193,0.0007893248,0.000008488391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932414,0.0006884497,0.00498923,0.00002603918,0.00001225295,0.00002233211,0.0003140375,0.00006499798,0.0006413126],"genre_scores_gemma":[0.9923835,0.0004116597,0.005865312,0.00002623497,0.000004733913,0.00004085481,0.0004477019,0.00001866594,0.0008013105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007009145,"threshold_uncertainty_score":0.00175041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218685783204987,"score_gpt":0.2668894819679712,"score_spread":0.2547026241359213,"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."}}