{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934456,0.0005046175,0.000516705,0.0005900288,0.0006054957,0.001336554,0.0007618832,0.0006275618,0.08472938],"category_scores_gemma":[0.0004824023,0.0001704437,0.0007335526,0.0007379442,0.0004444477,0.001501069,0.0007108268,0.0006914723,0.01487731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713274,"about_ca_system_score_gemma":0.000514438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002957194,"about_ca_topic_score_gemma":0.002424252,"domain_scores_codex":[0.9998935,0.00001974265,0.000005873488,0.00001937927,0.00004169297,0.00001971808],"domain_scores_gemma":[0.9998891,0.00001950705,0.00001446252,0.000031042,0.00002814043,0.00001780886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004763475,0.00006650417,0.0002858568,0.0001675097,0.00001604806,0.0003292474,0.000158387,0.003053904,0.004726636,0.8953367,0.06339444,0.0324171],"study_design_scores_gemma":[0.00007175252,0.00005200335,0.001033188,0.00006394302,0.00001196028,0.0003957778,0.0001285268,0.04743031,0.004980116,0.7427332,0.2030667,0.00003253728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07628376,0.001885106,0.2368723,0.007721923,0.00158712,0.0001840796,0.006519491,0.004394563,0.6645516],"genre_scores_gemma":[0.5298673,0.003185299,0.08584527,0.002144778,0.0006905925,0.0004731924,0.01433784,0.005330989,0.3581247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08472938,"threshold_uncertainty_score":0.283448,"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."}}