{"id":"W4387687008","doi":"10.48550/arxiv.2310.08668","title":"Localization of vibrational modes in high-entropy oxides","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Phonon; Condensed matter physics; Molecular vibration; Anderson localization; Entropy (arrow of time); Materials science; Vibrational spectrum; Crystal structure; Molecular physics; Chemistry; Physics; Raman spectroscopy; Crystallography; Thermodynamics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007830182,0.0002158029,0.000318361,0.0003473504,0.00003577697,0.00001351491,0.0002626641,0.0001871837,0.0000314937],"category_scores_gemma":[0.00003305645,0.0002721072,0.00008659749,0.0004345894,0.000077367,0.0001209906,0.0002951375,0.0002499039,0.00004765829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389152,"about_ca_system_score_gemma":0.00003747215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002627555,"about_ca_topic_score_gemma":0.0003672542,"domain_scores_codex":[0.9990867,0.00004228124,0.0002333986,0.0003457574,0.00008054094,0.0002112945],"domain_scores_gemma":[0.9994359,0.00008033213,0.00007652004,0.0002883799,0.00007553634,0.0000433473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001457409,0.00002259311,0.01175489,0.0001925763,0.0001059479,0.000042536,0.000117807,0.9218083,0.0004169953,0.06527419,0.0002416421,0.000007951404],"study_design_scores_gemma":[0.0003467267,0.0000119553,0.005565767,0.0001353034,0.00004631856,2.327695e-7,0.0001398901,0.9685417,0.001877945,0.02304185,0.00003410871,0.0002582025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.513062,0.00006968311,0.4855933,0.00002109957,0.0003295417,0.0001884297,0.00005772726,0.0003339134,0.000344342],"genre_scores_gemma":[0.9984489,0.000656667,0.0005434853,0.000004825503,0.00004851029,0.000001918438,0.00008691528,0.00004066704,0.0001681135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4853869,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05134161422260672,"score_gpt":0.1705187942843158,"score_spread":0.1191771800617091,"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."}}