{"id":"W4285400003","doi":"10.1149/ma2022-0112855mtgabs","title":"(Invited) Controlling Void Space in Crumpled Graphene for High Stability Silicon Anodes","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Silicon; Graphene; Materials science; Anode; Nanotechnology; Graphite; Oxide; Void (composites); Electrolyte; Composite material; Chemical engineering; Electrode; Optoelectronics; Metallurgy; Chemistry","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":[0.0001825446,0.0004345607,0.0002558288,0.0002010751,0.0002614524,0.0005352326,0.0004427575,0.001008283,0.009484288],"category_scores_gemma":[0.0001540036,0.0001831122,0.0003316781,0.0001293817,0.0003692515,0.0006995545,0.0005233692,0.0008115882,0.005362335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305716,"about_ca_system_score_gemma":0.00009378184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002019164,"about_ca_topic_score_gemma":0.0004988014,"domain_scores_codex":[0.9998263,0.0000123371,0.000005244467,0.00004491445,0.00006872084,0.0000424736],"domain_scores_gemma":[0.9999247,0.00001407201,0.00001061539,0.000005790854,0.00002494363,0.00001993386],"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":[0.0003299472,0.00007054731,0.0001650662,0.0007274525,0.0000413183,0.000423303,0.00016828,0.001193727,0.8887392,0.00283872,0.04617538,0.05912708],"study_design_scores_gemma":[0.00004903668,0.0005311926,0.0007538876,0.00003838435,0.00003488438,0.000271566,0.0001321314,0.002952438,0.7002165,0.0009275316,0.2940298,0.00006270567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.568902,0.1015505,0.07647053,0.02087799,0.05501273,0.000432054,0.002218557,0.005780471,0.1687552],"genre_scores_gemma":[0.7168905,0.03003779,0.0165781,0.004883137,0.003269367,0.0002489288,0.0009420961,0.0006890032,0.2264612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009484288,"threshold_uncertainty_score":0.03172809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853934174429978,"score_gpt":0.2771415809038065,"score_spread":0.2486022391595067,"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."}}