{"id":"W4399019176","doi":"10.1002/aenm.202400783","title":"Inhibiting Dendrites by Uniformizing Microstructure of Superionic Lithium Argyrodites for All‐Solid‐State Lithium Metal Batteries","year":2024,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Key Research and Development Program of Zhejiang Province; China Scholarship Council; Western University; National Natural Science Foundation of China","keywords":"Materials science; Lithium (medication); Lithium metal; Microstructure; Solid-state; Metal; Engineering physics; Inorganic chemistry; Nanotechnology; Metallurgy; Physical chemistry; Electrode; Anode","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":[0.00006650259,0.0001849307,0.00008139924,0.0001112913,0.0000655539,0.0001719031,0.0001214562,0.0001204126,0.0004476714],"category_scores_gemma":[0.0001063485,0.0001118093,0.00008704884,0.00009265674,0.0001021972,0.0001265587,0.0001182603,0.0001936231,0.0001928374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110627,"about_ca_system_score_gemma":0.000142158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003337121,"about_ca_topic_score_gemma":0.001232356,"domain_scores_codex":[0.9999658,0.000002957843,0.000003561393,0.000007858732,0.00001312826,0.000006764128],"domain_scores_gemma":[0.9999298,0.000008199606,0.00003091617,0.000008053527,0.00001559205,0.00000751346],"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":[0.00001118045,0.00000394485,0.00004254177,0.00002094901,0.000001059933,0.00001008748,0.000005277906,0.0001226794,0.9991824,0.0000621745,0.00001011951,0.0005275866],"study_design_scores_gemma":[0.000004719411,0.00005359212,0.0005369869,0.000001438941,0.000002756975,0.00002096669,0.000005108081,0.001094921,0.9976338,0.0000136778,0.0006303357,0.000001677274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939275,0.0003909524,0.004172048,0.00002922642,0.00001445111,0.00001574458,0.00008345548,0.00008793304,0.001278697],"genre_scores_gemma":[0.9951845,0.0002013635,0.003681659,0.000008087947,0.000003036314,0.00001131878,0.0000553253,0.00002209234,0.0008325951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004476714,"threshold_uncertainty_score":0.001531363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005846476870466852,"score_gpt":0.2242552228542377,"score_spread":0.2184087459837708,"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."}}