{"id":"W4311881928","doi":"10.1002/adfm.202209715","title":"Fast Ion Transport in Li‐Rich Alloy Anode for High‐Energy‐Density All Solid‐State Lithium Metal Batteries","year":2022,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Toronto; Western University","funders":"Western University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Materials science; Anode; Dendrite (mathematics); Electrolyte; Lithium (medication); Alloy; Nucleation; Battery (electricity); Current density; Electrode; Chemical engineering; Cathode; Power density; Diffusion; Composite material; Thermodynamics; Physical chemistry; Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002243297,0.0003522057,0.0005415773,0.0001872445,0.0001823456,0.00003761964,0.0002076962,0.00008918971,0.0005461024],"category_scores_gemma":[0.00001982499,0.000370376,0.00006765941,0.0001776149,0.00006066792,0.0004328036,0.0001084444,0.0001278446,0.00001090818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692364,"about_ca_system_score_gemma":0.00001964353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003467457,"about_ca_topic_score_gemma":0.00004439001,"domain_scores_codex":[0.9981597,0.000045778,0.0005940875,0.0004432726,0.0002507452,0.0005064389],"domain_scores_gemma":[0.9994391,0.00007137907,0.0001095814,0.0002797599,0.00005457519,0.00004559358],"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":[0.0004686439,0.00005442231,0.00006956219,0.00009413197,0.00006541984,0.00002208756,0.00005548794,0.08952777,0.9054217,0.003207001,0.0003375999,0.0006761735],"study_design_scores_gemma":[0.000989922,0.0001982957,0.003571085,0.00001912919,0.00002826838,0.00002950934,0.0001160795,0.00007501723,0.9647913,0.02189212,0.007788852,0.0005004222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685429,0.00009012557,0.0246872,0.0002353894,0.004269002,0.0003470426,0.001077147,0.0007085547,0.0000426658],"genre_scores_gemma":[0.9949049,0.0001046455,0.002240485,0.0002440712,0.0001627754,0.0009915326,0.0008687756,0.00008919108,0.0003935593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08945275,"threshold_uncertainty_score":0.9998748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048969996952199,"score_gpt":0.2063942200424188,"score_spread":0.1959045200728969,"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."}}