{"id":"W2984533706","doi":"10.1016/j.nanoen.2019.104242","title":"Engineering interfacial adhesion for high-performance lithium metal anode","year":2019,"lang":"en","type":"article","venue":"Nano Energy","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"National Natural Science Foundation of China","keywords":"Materials science; Anode; Overpotential; Lithium (medication); Electrolyte; Lithium metal; Metal; Adhesion; Layer (electronics); Chemical engineering; Alloy; Electrochemistry; Composite material; Electrode; Metallurgy; Physical chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009014697,0.0001675644,0.0002134696,0.00008175853,0.00003519564,0.00001929576,0.0001803188,0.00005994982,0.0001377693],"category_scores_gemma":[0.000006428811,0.0001760197,0.00002709655,0.0000753323,0.000006503791,0.0001896779,0.00006954121,0.0000509558,0.0000648358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009447478,"about_ca_system_score_gemma":0.000006911034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005019998,"about_ca_topic_score_gemma":3.792999e-7,"domain_scores_codex":[0.9991864,0.000008779738,0.0002181239,0.0001772091,0.0001273116,0.0002821757],"domain_scores_gemma":[0.9996772,0.00002782995,0.00003003915,0.0002135758,0.00002148222,0.0000298533],"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":[0.00002867569,0.00000933001,0.0000380112,0.00008989234,0.00002792511,3.578508e-7,0.0000235526,0.1594128,0.8359272,0.00113072,0.00061256,0.002698901],"study_design_scores_gemma":[0.0003591854,0.0001000021,0.00007605619,0.00003194925,0.00001035971,0.000001633909,0.00000477931,0.01527889,0.9331089,0.0000654262,0.05072121,0.0002415612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792253,0.0001015897,0.01478182,0.00001082631,0.005062137,0.000133404,0.00004035582,0.0002764929,0.000368104],"genre_scores_gemma":[0.9949357,0.00001805237,0.002786239,0.0000525824,0.0002528329,0.0001208693,0.0000376966,0.00006558704,0.001730444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1441339,"threshold_uncertainty_score":0.7177875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006625808663095306,"score_gpt":0.1985227236272477,"score_spread":0.1918969149641524,"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."}}