{"id":"W4402797371","doi":"10.1021/acsami.4c11597","title":"Evaluation of Oxide|Sulfide Heteroionic Interface Stability for Developing Solid-State Batteries with a Lithium–Metal Electrode: The Case of LLZO|Li<sub>6</sub>PS<sub>5</sub>Cl and LLZO|Li<sub>7</sub>P<sub>3</sub>S<sub>11</sub>","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Energy Technology Laboratory; Hessisches Ministerium für Wissenschaft und Kunst; Bundesministerium für Bildung und Forschung","keywords":"Materials science; Lithium (medication); Oxide; Sulfide; Electrode; Metal; Lithium metal; Solid-state; Inorganic chemistry; Metallurgy; Engineering physics; Physical chemistry; Anode; 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":[0.0002082408,0.0002537419,0.0002052396,0.000177026,0.0001325214,0.000361491,0.0002871784,0.0003869831,0.0006858099],"category_scores_gemma":[0.0003594251,0.0001365486,0.0001500647,0.0001586948,0.0001506629,0.0003621092,0.000248232,0.0002805588,0.000194546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518512,"about_ca_system_score_gemma":0.0001141357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003607957,"about_ca_topic_score_gemma":0.001110005,"domain_scores_codex":[0.9998854,0.00001190152,0.00000974508,0.00001794153,0.0000567924,0.00001823279],"domain_scores_gemma":[0.9998543,0.00003263645,0.00003804291,0.00001260859,0.00004414979,0.00001830261],"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":[0.00003950629,0.000006552521,0.0002405068,0.00003488929,0.000004001932,0.00002137106,0.00001617926,0.0000992173,0.9985256,0.00001832465,0.00000787076,0.0009859321],"study_design_scores_gemma":[0.000002845378,0.0001573893,0.001516792,0.00000255023,0.000008710368,0.00002810682,0.00003839839,0.001267783,0.9966875,0.000008665032,0.00027875,0.000002659265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963833,0.0005109913,0.002398201,0.00003008046,0.00001043867,0.00001735173,0.00008575682,0.00004111092,0.0005226739],"genre_scores_gemma":[0.9967955,0.0003668161,0.002357102,0.000006785205,0.000002739359,0.00001290656,0.00007726165,0.000008468922,0.0003723594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006858099,"threshold_uncertainty_score":0.002294242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951100783396377,"score_gpt":0.2684972798395585,"score_spread":0.2489862720055947,"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."}}