{"id":"W4390892033","doi":"10.1016/j.ensm.2024.103192","title":"Electrolyte engineering enabled hierarchical lithiophilic-lithiophobic host for high-voltage lithium-metal batteries","year":2024,"lang":"en","type":"article","venue":"Energy storage materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; Natural Science Foundation of Hubei Province; Natural Science Foundation of Beijing Municipality; Natural Science Foundation of Hebei Province; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Electrolyte; Materials science; Anode; Lithium (medication); Diffusion; Cathode; Chemical engineering; Battery (electricity); Capacity loss; Host (biology); Lithium metal; Nanotechnology; Electrode; Electrical engineering; 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":[0.0000400846,0.0002314974,0.0001418831,0.0001398637,0.0002123983,0.0003677534,0.0002393982,0.0002177081,0.002147788],"category_scores_gemma":[0.00008996448,0.0001144738,0.00009605788,0.0002126173,0.0001280915,0.0003596031,0.0005083263,0.0003486186,0.0005778102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019639,"about_ca_system_score_gemma":0.0001320946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807909,"about_ca_topic_score_gemma":0.0006029624,"domain_scores_codex":[0.9999613,0.000003210779,0.000003359923,0.000006628246,0.000009250663,0.00001632197],"domain_scores_gemma":[0.9999737,0.000003509164,0.000006366589,0.000005062805,0.000004976026,0.000006414626],"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":[0.0001034346,0.00003699431,0.0002124604,0.0002813996,0.00001095903,0.0002967151,0.00007958835,0.0009913526,0.981914,0.005795029,0.0006998331,0.009578123],"study_design_scores_gemma":[0.00001640777,0.0001289593,0.0004787319,0.00001128519,0.000008998358,0.0001490679,0.00004525079,0.003532374,0.9858436,0.0004805742,0.009291344,0.0000133481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747958,0.001321563,0.009743745,0.0002196736,0.0001263427,0.00003521736,0.0003356852,0.0004997848,0.01292224],"genre_scores_gemma":[0.9932413,0.0005282451,0.00336989,0.0000391089,0.00001081574,0.00002847731,0.0001263352,0.00003792355,0.002618041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002147788,"threshold_uncertainty_score":0.007185102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006198349141975539,"score_gpt":0.207295391253719,"score_spread":0.2010970421117435,"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."}}