{"id":"W3172826361","doi":"10.1021/acsmaterialslett.1c00142","title":"Lithium Ytterbium-Based Halide Solid Electrolytes for High Voltage All-Solid-State Batteries","year":2021,"lang":"en","type":"article","venue":"ACS Materials Letters","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; BASF","keywords":"Electrolyte; Fast ion conductor; Materials science; Halide; Ionic conductivity; Electrochemistry; Cathode; Sulfide; Inorganic chemistry; Lithium (medication); Chemical engineering; Chemistry; Physical chemistry; Metallurgy; Electrode","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":[0.0001789244,0.000501589,0.0006888102,0.0001248577,0.0001232634,0.0003870111,0.0003646005,0.0001640893,0.000223438],"category_scores_gemma":[0.00008339149,0.00050041,0.00009048843,0.0001267011,0.0001168797,0.0003398259,0.0001074329,0.0001217778,0.0000653544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008849683,"about_ca_system_score_gemma":0.00002467036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515278,"about_ca_topic_score_gemma":0.000009244733,"domain_scores_codex":[0.9977404,0.00004786429,0.0006330764,0.0004965484,0.0001859282,0.0008961104],"domain_scores_gemma":[0.9989626,0.0001447076,0.0001270419,0.000619209,0.00007693242,0.00006954085],"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":[0.00008039345,0.00002139399,0.00002114683,0.0003881557,0.0001197496,0.00009156756,0.00004389948,0.002744351,0.990218,0.0001701405,0.005730493,0.0003707277],"study_design_scores_gemma":[0.0006658544,0.00007799626,0.000264315,0.00007508359,0.00004978955,0.00001566584,0.00001784502,0.00005295018,0.988557,0.001775187,0.007864474,0.0005838424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536059,0.00008037135,0.0377131,0.004413957,0.001936443,0.0003665971,0.0005142845,0.001353924,0.00001543971],"genre_scores_gemma":[0.9867523,0.00007870156,0.005248763,0.006502767,0.0003636134,0.000370016,0.0004221507,0.0001689858,0.00009274322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03314637,"threshold_uncertainty_score":0.9997448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009159747581579614,"score_gpt":0.2290872365269845,"score_spread":0.2199274889454048,"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."}}