{"id":"W4394979137","doi":"10.1007/s40843-024-2915-3","title":"Dielectric LiNbO3 electrolyte regulating internal electric field in composite solid-state electrolyte to fundamentally boost Li-ion transport","year":2024,"lang":"en","type":"article","venue":"Science China Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Electrolyte; Materials science; Dielectric; Ion; Electric field; Ionic conductivity; Composite number; Fast ion conductor; Lithium niobate; Lithium (medication); Conductivity; Ion transporter; Electrode; Optoelectronics; Chemistry; Composite material; Physical chemistry; Physics","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":[0.00004812783,0.0001343474,0.00008558929,0.0000691076,0.0001318236,0.0002300902,0.0002215655,0.0001652451,0.001250703],"category_scores_gemma":[0.00007793878,0.00006522753,0.00009737078,0.00009792612,0.0001216459,0.0003362855,0.0001418877,0.0002428253,0.000231238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700166,"about_ca_system_score_gemma":0.0001525981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202167,"about_ca_topic_score_gemma":0.0006337799,"domain_scores_codex":[0.9999785,0.000001467649,0.00000120466,0.000006005658,0.00000565662,0.000007206349],"domain_scores_gemma":[0.9999753,0.000004242243,0.000006002134,0.000001783905,0.000007315245,0.000005405835],"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":[0.00009984165,0.0000129014,0.00009397682,0.00004902795,0.000002908112,0.00003113459,0.00001334745,0.0001420119,0.9969591,0.0005467414,0.0001151188,0.001933991],"study_design_scores_gemma":[0.00001401521,0.00005150681,0.0002751604,0.000003159583,0.000004974919,0.00002942544,0.0000191044,0.002846107,0.9954101,0.000151124,0.001191998,0.000003334649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891847,0.0006699055,0.006520778,0.0001594514,0.0001227866,0.000009897803,0.00009314159,0.0001536747,0.003085787],"genre_scores_gemma":[0.9975877,0.0002026186,0.001131388,0.00004046362,0.000007076421,0.000005380285,0.00003979718,0.00001190002,0.0009736934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250703,"threshold_uncertainty_score":0.004184067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004403180373957775,"score_gpt":0.2414273101517685,"score_spread":0.2370241297778107,"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."}}