{"id":"W4403304247","doi":"10.1002/ange.202416565","title":"Ferroelectric Dipoles Tailoring Solid‐Electrolyte‐Interphase Chemistry to Enable Reversible Lithium Metal Batteries","year":2024,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Polyoxometalates: Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Lithium metal; Electrolyte; Interphase; Lithium (medication); Ferroelectricity; Chemistry; Nanotechnology; Dipole; Fast ion conductor; Materials science; Inorganic chemistry; Electrode; Organic chemistry; Physical chemistry; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002992538,0.0002725039,0.0003179385,0.0001107717,0.0001998872,0.0003618503,0.0004100456,0.00009431329,0.002195933],"category_scores_gemma":[0.00008791455,0.0002449283,0.0001540171,0.0006542212,0.00007301603,0.0003354366,0.0001521719,0.0001670381,0.0008662485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360482,"about_ca_system_score_gemma":0.000103674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005982012,"about_ca_topic_score_gemma":0.000006123768,"domain_scores_codex":[0.9981894,0.00001601163,0.0003037799,0.0006107661,0.0002505546,0.0006294539],"domain_scores_gemma":[0.9991368,0.0001021009,0.00005434221,0.0004374795,0.00005183124,0.0002174642],"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":[0.00001728136,0.00004602054,0.000009191308,0.0001189315,0.00004230661,0.00001420923,0.0001723165,0.000004950259,0.9895346,0.00009703442,0.009532321,0.0004108984],"study_design_scores_gemma":[0.0000823255,0.00002978649,0.000007205264,0.0001048238,0.00008780466,0.00002960028,0.00005495138,0.00003300243,0.9286041,0.0003160325,0.0703729,0.0002774233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683155,0.004980592,0.0009904034,0.002122331,0.0003235624,0.0002730165,0.0001283287,0.0005794431,0.02228682],"genre_scores_gemma":[0.9826841,0.00009913925,0.0005568468,0.0002354634,0.000411022,0.0001851766,0.00002492182,0.00004733925,0.01575596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06093039,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166701783491503,"score_gpt":0.2623604352069849,"score_spread":0.2456902568578346,"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."}}