{"id":"W4317535285","doi":"10.1039/d2qi02306g","title":"LiMn<sub>0.8</sub>Fe<sub>0.2</sub>PO<sub>4</sub>@C cathode prepared <i>via</i> a novel hydrated MnHPO<sub>4</sub> intermediate for high performance lithium-ion batteries","year":2023,"lang":"en","type":"article","venue":"Inorganic Chemistry Frontiers","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cathode; Lithium (medication); Materials science; Electrical resistivity and conductivity; Conductivity; Analytical Chemistry (journal); Chemical engineering; Mineralogy; Chemistry; Physical chemistry; Electrical engineering; 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":["metaepi_narrow"],"category_scores_codex":[0.0007841215,0.001917654,0.001817214,0.0003439986,0.0007646458,0.0005690143,0.00149537,0.00106878,0.00003541174],"category_scores_gemma":[0.0004285703,0.002275214,0.0003466064,0.001377432,0.000546595,0.001370596,0.0007746858,0.001034137,0.0003837128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611645,"about_ca_system_score_gemma":0.0003127721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007986687,"about_ca_topic_score_gemma":0.00001835627,"domain_scores_codex":[0.9918745,0.0001082549,0.002254778,0.002076439,0.001041384,0.00264462],"domain_scores_gemma":[0.9959092,0.0002659556,0.0008097756,0.001975975,0.0004016389,0.0006374365],"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":[0.0004470937,0.0001836129,0.0002899217,0.002188013,0.0005129134,0.00005047744,0.0009698358,0.002939637,0.953204,0.000001232076,0.03279663,0.006416676],"study_design_scores_gemma":[0.003000322,0.0001658527,0.000761563,0.0005919807,0.0003316413,0.0000954963,0.0003615664,0.004642566,0.9865807,0.0002007164,0.000976536,0.002291089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695211,0.0003515389,0.0175705,0.0002105138,0.006651445,0.001642343,0.001245913,0.002698552,0.0001080705],"genre_scores_gemma":[0.9913448,0.001471858,0.0008821741,0.0003604909,0.001569094,0.0011277,0.002346092,0.0008082684,0.00008952789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03337671,"threshold_uncertainty_score":0.9993567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00822101799707029,"score_gpt":0.2015175957241448,"score_spread":0.1932965777270745,"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."}}