{"id":"W4285398729","doi":"10.1149/ma2022-017667mtgabs","title":"Li Host Carbon Materials As the Negative Electrode for a Li-Metal Battery – Mechanistic and Practical Assessment","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lithium (medication); Anode; Materials science; Carbon fibers; Deposition (geology); Electrode; FOIL method; Battery (electricity); Chemical engineering; Nanotechnology; Chemistry; Composite number; Composite material; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002133464,0.0005308184,0.0002345051,0.0004593484,0.0002959202,0.0004411333,0.0005439949,0.0006833451,0.00135975],"category_scores_gemma":[0.0001559058,0.0001440336,0.0001531991,0.0003108522,0.0002896791,0.0006558769,0.0002043317,0.000575455,0.0005404354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492429,"about_ca_system_score_gemma":0.0002122685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005659607,"about_ca_topic_score_gemma":0.00176693,"domain_scores_codex":[0.9998615,0.00001355738,0.00000587171,0.00002102816,0.00008110447,0.00001708204],"domain_scores_gemma":[0.9999521,0.0000124041,0.00000606138,0.000005100943,0.00001610424,0.000008197755],"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":[0.0001616194,0.0001252018,0.0005016202,0.001284461,0.00001414914,0.0004165025,0.00007913747,0.0009226885,0.9551103,0.004904754,0.001441645,0.03503802],"study_design_scores_gemma":[0.000007395038,0.00040965,0.0009565971,0.00005621523,0.00001877267,0.0004500228,0.00007589588,0.005211477,0.9700792,0.0009590214,0.02175532,0.00002044172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7977972,0.1225535,0.02438044,0.001801202,0.0006752638,0.0003833242,0.0009286148,0.0006366021,0.05084391],"genre_scores_gemma":[0.9616094,0.01924733,0.01079166,0.0001287755,0.0001000383,0.0000577334,0.0004925198,0.00003915818,0.00753335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00135975,"threshold_uncertainty_score":0.004548848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301728820025499,"score_gpt":0.2617471255161396,"score_spread":0.2487298373158846,"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."}}