{"id":"W4401776300","doi":"10.2172/2431586","title":"Electrolyte Design for Multivalent Metal Battery Interphases","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Nuclear Security Administration; Office of Science; Center for Integrated Nanotechnologies; Sandia National Laboratories; U.S. Department of Energy","keywords":"Electrolyte; Battery (electricity); Metal; Materials science; Chemical engineering; Computer science; Electrode; Chemistry; Metallurgy; Engineering; Thermodynamics","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":[0.0001609402,0.0003279708,0.0002777184,0.0003066214,0.0003008191,0.0007243323,0.0008335797,0.0004452365,0.002857472],"category_scores_gemma":[0.0002750029,0.0001610288,0.0001808997,0.000359668,0.0001207581,0.0007940136,0.0004760163,0.0002367188,0.00112979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101764,"about_ca_system_score_gemma":0.0003998116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004313874,"about_ca_topic_score_gemma":0.00118801,"domain_scores_codex":[0.9999065,0.000006113444,0.000008428921,0.00002368544,0.00003600569,0.00001919423],"domain_scores_gemma":[0.9999089,0.00001138136,0.0000141716,0.000006800935,0.00004566173,0.00001309992],"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":[0.0003745777,0.00009175019,0.0004025299,0.0004878442,0.00003115532,0.0001350042,0.0000543617,0.01158132,0.9136767,0.007775321,0.0007476448,0.0646417],"study_design_scores_gemma":[0.00004943117,0.0005387539,0.0002446086,0.00002677572,0.00003743075,0.0001521562,0.00008894023,0.04676825,0.9312976,0.001809348,0.01896547,0.00002125674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6199881,0.006286498,0.3450774,0.0004857954,0.0004644581,0.0002721035,0.0008287349,0.0009451647,0.02565166],"genre_scores_gemma":[0.9130119,0.00234001,0.07300515,0.0001375665,0.00003896241,0.0001563536,0.0004693455,0.0001116876,0.01072904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002857472,"threshold_uncertainty_score":0.009559214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571473928533918,"score_gpt":0.2577332772307049,"score_spread":0.2220185379453657,"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."}}