{"id":"W4320560929","doi":"10.48550/arxiv.2211.09047","title":"Temperature-Dependent Dynamic Disproportionation in LiNiO$_2$","year":2022,"lang":"en","type":"preprint","venue":"Pure (University of Bath)","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; European Commission; Royal Academy of Engineering; Diamond Light Source; UK Research and Innovation; Canadian Light Source","keywords":"Disproportionation; Antiferromagnetism; Spin (aerodynamics); Condensed matter physics; Oxide; Materials science; Nickel; Lithium (medication); Ab initio; Crystallography; Chemistry; Thermodynamics; Physics; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001249533,0.0002089861,0.0002302772,0.0001569848,0.0004060899,0.0005177218,0.0004089729,0.0002487501,0.001981231],"category_scores_gemma":[0.000399965,0.0002286176,0.0002095648,0.0001430786,0.0004768976,0.0007473775,0.0004345524,0.0003499333,0.0001374453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007294961,"about_ca_system_score_gemma":0.0003603243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002049093,"about_ca_topic_score_gemma":0.002643128,"domain_scores_codex":[0.9999293,0.000007456607,0.000003065203,0.00001888922,0.00002074694,0.0000205442],"domain_scores_gemma":[0.9999318,0.00002863948,0.00001580752,0.000008099481,0.0000101893,0.000005408523],"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":[0.0009953176,0.0004328793,0.02249235,0.0009830442,0.0001678707,0.001258482,0.001546069,0.2704758,0.6058807,0.07344878,0.002782949,0.01953581],"study_design_scores_gemma":[0.00009000155,0.0003007221,0.007819142,0.00002901814,0.00004908784,0.0002530789,0.000425672,0.7004752,0.2725788,0.01360522,0.004324701,0.00004927527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992633,0.0001952275,0.002942001,0.0001749077,0.00001888329,0.00001120784,0.00005504775,0.00007317094,0.003896461],"genre_scores_gemma":[0.9984186,0.00009562584,0.000778586,0.00003167297,0.000002398503,0.00001418604,0.0000665071,0.00002735087,0.0005650513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002049093,"threshold_uncertainty_score":0.006627858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006902238259490122,"score_gpt":0.2100385968734371,"score_spread":0.203136358613947,"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."}}