{"id":"W2511045891","doi":"10.1149/ma2016-02/3/272","title":"(Battery Division Technology Award) Some Directions for Performance Improvement of Li-Ion Batteries out of Usual Paths","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Electrolyte; Electrode; Surface modification; Materials science; Battery (electricity); Chemical engineering; Oxide; Energy storage; Anode; Redox; Carbon fibers; Nanotechnology; Intercalation (chemistry); Electrochemistry; Covalent bond; Inorganic chemistry; Chemistry; Organic chemistry; Composite number; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001844873,0.0006978177,0.0004715974,0.000871842,0.0008499155,0.002861368,0.001083825,0.003248611,0.3764309],"category_scores_gemma":[0.001412244,0.000271909,0.0004626421,0.0006445724,0.0002748503,0.001999152,0.00136929,0.002157469,0.2768099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319868,"about_ca_system_score_gemma":0.002664532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034395,"about_ca_topic_score_gemma":0.002874154,"domain_scores_codex":[0.9990728,0.00006560056,0.00005239608,0.0001019586,0.0005414434,0.0001658328],"domain_scores_gemma":[0.9985778,0.00006878634,0.00003727784,0.00009487708,0.0007689113,0.0004523273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001408103,0.0001196596,0.0003073535,0.00008770078,0.000007198479,0.0001281313,0.00001640407,0.0001097914,0.002441131,0.007516337,0.8956369,0.09348863],"study_design_scores_gemma":[0.00002573618,0.00007656201,0.0004643128,0.00002483943,0.000002613073,0.00005741091,0.00001287545,0.0001449364,0.0003291674,0.0008230144,0.9980344,0.000004095813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004252334,0.004913989,0.003767528,0.0725808,0.03791438,0.0005933399,0.006827308,0.001523693,0.8676267],"genre_scores_gemma":[0.003906585,0.001339951,0.00106444,0.00392308,0.00145904,0.00009074082,0.002292885,0.0002256652,0.9856976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3764309,"threshold_uncertainty_score":0.8894457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583980362773144,"score_gpt":0.262496425570918,"score_spread":0.2466566219431866,"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."}}