{"id":"W4380136280","doi":"10.48550/arxiv.2306.04852","title":"Charge Order Evolution of Superconducting BaNi2As2 Under High Pressure","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Argonne National Laboratory; National Nuclear Security Administration; Office of Science; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Tetragonal crystal system; Superconductivity; Triclinic crystal system; Condensed matter physics; Diffraction; Charge ordering; Charge (physics); Materials science; Powder diffraction; Lattice (music); Crystal structure; Crystallography; Chemistry; Physics; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008902263,0.0004214087,0.0005981723,0.0005430772,0.0002383702,0.00007588431,0.001314358,0.0005948964,0.004674716],"category_scores_gemma":[0.0002748594,0.0004715263,0.000207445,0.0009166141,0.0004251094,0.0005305872,0.001661587,0.0008576551,0.000962336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000464659,"about_ca_system_score_gemma":0.0007534884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007346883,"about_ca_topic_score_gemma":0.0002143556,"domain_scores_codex":[0.9966657,0.0004580916,0.0003946285,0.001406573,0.0003346976,0.0007403693],"domain_scores_gemma":[0.9973618,0.0002484653,0.0002114275,0.001323204,0.000658535,0.0001964994],"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":[0.0001372909,0.0002584723,0.008553542,0.001172422,0.0002154722,0.0001577184,0.0005356013,0.2439023,0.6573412,0.08608256,0.001632224,0.00001121821],"study_design_scores_gemma":[0.006750368,0.0007430258,0.02270677,0.002112956,0.00196714,0.00002945922,0.0181418,0.141082,0.6762938,0.122722,0.001093974,0.006356723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908511,0.0001431333,0.005726774,0.0001134852,0.001517472,0.0005476944,0.0003199287,0.0003129781,0.0004674087],"genre_scores_gemma":[0.992388,0.00006089209,0.0002358486,0.00001511007,0.0001915198,0.000003402694,0.00007757972,0.00008253878,0.006945092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028203,"threshold_uncertainty_score":0.9998155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281289481649162,"score_gpt":0.2256580899720762,"score_spread":0.09752914180716002,"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."}}