{"id":"W2979259889","doi":"10.1002/aenm.201902373","title":"Correlated Migration Invokes Higher Na<sup>+</sup>‐Ion Conductivity in NaSICON‐Type Solid Electrolytes","year":2019,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic Energy Sciences; Office of Science; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Fast ion conductor; Conductivity; Materials science; Ion; Electrolyte; Monoclinic crystal system; Ion transporter; Ionic conductivity; Analytical Chemistry (journal); Crystallography; Crystal structure; Chemistry; Physical chemistry; Electrode; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001149756,0.0003580104,0.000552016,0.0001716172,0.00004342923,0.00006449411,0.0002032875,0.0002721392,0.0004464635],"category_scores_gemma":[0.00002789971,0.0003444618,0.00003561785,0.0002758824,0.00004974128,0.0007065801,0.00006514376,0.0001228707,0.0001031674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204382,"about_ca_system_score_gemma":0.00001374042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007745869,"about_ca_topic_score_gemma":0.00003381512,"domain_scores_codex":[0.9984514,0.00006490119,0.0004785955,0.0003753243,0.0001344278,0.0004953656],"domain_scores_gemma":[0.9993366,0.00006413026,0.0001048699,0.0004016804,0.00005321741,0.00003950407],"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":[0.00009296049,0.00002307187,0.0001625783,0.00005086778,0.00002460785,0.000005969738,0.00003608947,0.1202241,0.8758726,0.001700565,0.00006471285,0.001741845],"study_design_scores_gemma":[0.0006597125,0.0001306788,0.0006231969,0.00007867841,0.000008772678,0.000006091424,0.00003936166,0.001510987,0.9890079,0.002800216,0.00471094,0.0004234209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961742,0.0003381405,0.0002773337,0.00005126625,0.001673988,0.000194492,0.00002351169,0.0009562186,0.0003108383],"genre_scores_gemma":[0.9981254,0.0005598018,0.0005133197,0.0000752842,0.00008986284,0.00007922261,0.0001371792,0.00008182462,0.0003380457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1187131,"threshold_uncertainty_score":0.9999008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006625527440324829,"score_gpt":0.2088233236214586,"score_spread":0.2021977961811338,"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."}}