{"id":"W2563615861","doi":"10.1038/nmat4821","title":"Negating interfacial impedance in garnet-based solid-state Li metal batteries","year":2016,"lang":"en","type":"article","venue":"Nature Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":2003,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Army Research Laboratory; NIST Center for Neutron Research; Division of Materials Research; Office of Science; Advanced Research Projects Agency - Energy; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy; Basic Energy Sciences; Maryland Advanced Research Computing Center; Advanced Research Projects Agency; National Science Foundation","keywords":"Materials science; Electrolyte; Anode; Lithium (medication); Oxide; Ionic conductivity; Wetting; Conductivity; Electrochemistry; Cathode; Electrowetting; Electrode; Chemical engineering; Composite material; Metallurgy; Optoelectronics; 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":[0.0001372674,0.0002164836,0.0003089702,0.0001831887,0.0002210462,0.0006871335,0.0004512571,0.0004076192,0.002154923],"category_scores_gemma":[0.0003015128,0.0001234505,0.00009944096,0.0002014201,0.0003312543,0.0005313347,0.000439836,0.0002848735,0.0004364785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227553,"about_ca_system_score_gemma":0.0001253388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863034,"about_ca_topic_score_gemma":0.0007421923,"domain_scores_codex":[0.9999366,0.00001028288,0.000004731514,0.000008666889,0.00002331902,0.00001638067],"domain_scores_gemma":[0.99992,0.000025916,0.0000140507,0.000007964089,0.00001914151,0.00001280664],"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":[0.0004585787,0.00006321901,0.0003746333,0.0001715704,0.00001259247,0.0001302935,0.00005464434,0.002133897,0.9861032,0.00292817,0.0001629239,0.007406339],"study_design_scores_gemma":[0.0000355078,0.0003106015,0.000371296,0.00002084428,0.00002976872,0.0001030814,0.00006434539,0.02017065,0.975327,0.0009946065,0.002562003,0.00001040086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893602,0.0007111226,0.005164757,0.0002715062,0.00009341541,0.000009565289,0.00003016658,0.0001557448,0.004203507],"genre_scores_gemma":[0.9974594,0.0003213352,0.0009072849,0.00004005137,0.00001052926,0.000003409441,0.00001799397,0.00001832428,0.001221589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002154923,"threshold_uncertainty_score":0.007208943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006468877475874373,"score_gpt":0.2559121920963266,"score_spread":0.2494433146204522,"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."}}