{"id":"W4410302621","doi":"10.1103/physrevb.111.174414","title":"Emergent <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mi>SU</mml:mi> <mml:msub> <mml:mrow> <mml:mo>(</mml:mo> <mml:mn>2</mml:mn> <mml:mo>)</mml:mo> </mml:mrow> <mml:mn>1</mml:mn> </mml:msub> </mml:math> conformal symmetry in the spin- <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:math> Kitaev-Gamma chain with a Dzyaloshinskii-Moriya interaction","year":2025,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Nankai University","keywords":"Mathematics; Algorithm","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005612781,0.004470276,0.002826093,0.001252733,0.004191144,0.00359305,0.007574586,0.003494734,0.0193534],"category_scores_gemma":[0.003365576,0.006536882,0.008269,0.005369822,0.004275534,0.005566245,0.006160367,0.008653523,0.01096685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076045,"about_ca_system_score_gemma":0.004210389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092287,"about_ca_topic_score_gemma":0.0008565974,"domain_scores_codex":[0.9690159,0.002354693,0.007114743,0.006480876,0.0075145,0.007519308],"domain_scores_gemma":[0.9750416,0.00503028,0.007994774,0.007572017,0.001025238,0.003336069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002194499,0.002677273,0.00001952563,0.008678234,0.00433237,0.001443966,0.002343576,0.00117348,0.003669971,0.8151432,0.1434756,0.01484834],"study_design_scores_gemma":[0.007683941,0.006860127,0.0001456555,0.02585793,0.01325753,0.00207157,0.005233695,0.2113499,0.5959581,0.009762933,0.1117284,0.0100902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8430698,0.01406562,0.007346164,0.004392057,0.006810115,0.0009629318,0.002940139,0.001241401,0.1191718],"genre_scores_gemma":[0.9493243,0.0147015,0.002813073,0.008233888,0.008126039,0.007771649,0.005976359,0.00245909,0.000594102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8053803,"threshold_uncertainty_score":0.9984342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655282804696846,"score_gpt":0.283558387272876,"score_spread":0.2670055592259075,"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."}}