{"id":"W1988536184","doi":"10.1021/cm504058k","title":"Synthesis, Structure, and Na-Ion Migration in Na<sub>4</sub>NiP<sub>2</sub>O<sub>7</sub>F<sub>2</sub>: A Prospective High Voltage Positive Electrode Material for the Na-Ion Battery","year":2015,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Oak Ridge National Laboratory; Basic Energy Sciences; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ion; Ionic bonding; Ionic conductivity; Chemistry; Crystal structure; Analytical Chemistry (journal); Thermal stability; Materials science; Crystallite; Crystallography; Electrode; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003518213,0.0001273442,0.00008030658,0.00006704051,0.0001141209,0.0001838461,0.0001811263,0.0001796783,0.0003399234],"category_scores_gemma":[0.00008152414,0.0001300188,0.0000720783,0.00008689707,0.0001375958,0.0001637945,0.0001382732,0.0001652596,0.0001404675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185436,"about_ca_system_score_gemma":0.0001499179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006532008,"about_ca_topic_score_gemma":0.0009336562,"domain_scores_codex":[0.999975,0.00000248994,0.000001817327,0.00000579247,0.000009943891,0.000005057026],"domain_scores_gemma":[0.9999728,0.000002994571,0.00001189593,0.000002730122,0.000003744392,0.000005838618],"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":[0.00004513985,0.00001263683,0.0003005032,0.000082232,0.000002968897,0.0001069294,0.00003140148,0.0007544105,0.9957232,0.0002726735,0.00003965369,0.002628264],"study_design_scores_gemma":[0.00001077533,0.0001901225,0.001769675,0.000005255186,0.000008126609,0.0002658542,0.00003316073,0.002953915,0.9924524,0.00008063371,0.002222826,0.000007168343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969157,0.0003384766,0.001348252,0.00003433794,0.000005608401,0.00001092249,0.00006629106,0.00003535722,0.001245069],"genre_scores_gemma":[0.9938612,0.0003231264,0.004669637,0.00001182358,0.000002804609,0.00001309838,0.00007172931,0.00001587807,0.001030608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006532008,"threshold_uncertainty_score":0.001345396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006967848542774562,"score_gpt":0.2077597436361226,"score_spread":0.200791895093348,"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."}}