{"id":"W4389722067","doi":"10.1021/acs.jpcc.3c05419","title":"Elucidating the Origins of Rapid Capacity Fade in Hybrid Garnet-Based Solid-State Lithium Metal Batteries","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Calgary; University of Saskatchewan; National Research Council Canada; University of Ottawa","funders":"Office of Energy Research and Development","keywords":"Fade; Lithium metal; Solid-state; Lithium (medication); Materials science; Metal; Battery (electricity); Engineering physics; Computer science; Metallurgy; Engineering; Thermodynamics; Physics; Biology; Power (physics); Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002848534,0.0001318267,0.0002781216,0.00002491252,0.00003877385,0.00001540955,0.0003481037,0.0000244243,0.00001715519],"category_scores_gemma":[0.00008226121,0.00007458799,0.00008584262,0.0001780209,0.0001724026,0.00008989992,0.00005250061,0.0003312886,0.000003836063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004983719,"about_ca_system_score_gemma":0.00001615538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006049308,"about_ca_topic_score_gemma":5.197264e-7,"domain_scores_codex":[0.999223,0.00002898765,0.0003151759,0.00005937724,0.0001725105,0.0002009755],"domain_scores_gemma":[0.9993486,0.000237886,0.0001560244,0.0001989076,0.00003639182,0.0000221727],"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":[0.0000189579,0.00001739558,0.00001062087,0.0001092729,0.00003076699,0.000007514382,0.0001721648,0.05404499,0.9449077,0.00001300888,0.00007895648,0.0005886787],"study_design_scores_gemma":[0.0001780267,0.00003038977,0.0002395706,0.00006121894,0.00002016473,0.00001309476,0.0001712057,0.007589671,0.9900198,0.001343224,0.0002518882,0.00008174279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987887,0.00003410648,0.0006353728,0.0002374477,0.00006445648,0.00003841199,0.00002448829,0.00007171073,0.0001053742],"genre_scores_gemma":[0.9997177,0.00003182716,0.00006871654,0.00001339728,0.0001365768,0.000002848774,0.000002010633,0.00001649096,0.00001044929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04645532,"threshold_uncertainty_score":0.304161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415287039822175,"score_gpt":0.2345143594161281,"score_spread":0.2203614890179063,"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."}}