{"id":"W1544689055","doi":"10.1103/physrevb.89.024425","title":"Order-by-disorder in the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mi>X</mml:mi><mml:mi>Y</mml:mi></mml:mrow></mml:math>pyrochlore antiferromagnet","year":2014,"lang":"lv","type":"article","venue":"Physical Review B","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Perimeter Institute; University of Waterloo","funders":"","keywords":"Antiferromagnetism; Physics; Pyrochlore; Ground state; Condensed matter physics; Monte Carlo method; Ising model; Spin model; Quantum Monte Carlo; Quantum mechanics; Mathematics; Phase (matter)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003300029,0.0001904233,0.0003570576,0.0005009403,0.0007700378,0.001098844,0.0005223129,0.000484202,0.001258875],"category_scores_gemma":[0.0006647178,0.0002767831,0.0003562497,0.0002588234,0.001649603,0.00100169,0.0003508397,0.0004408462,0.00009167032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008662637,"about_ca_system_score_gemma":0.0006163192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128961,"about_ca_topic_score_gemma":0.004410928,"domain_scores_codex":[0.9998469,0.00003812031,0.000005279317,0.00002519017,0.00003330552,0.00005124373],"domain_scores_gemma":[0.9997531,0.0000868993,0.00004189675,0.00004776188,0.00002472043,0.00004565875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004037462,0.0003383262,0.007230767,0.0001169871,0.00007427979,0.0007124501,0.0003936133,0.42257,0.07560503,0.4879544,0.001194603,0.003405908],"study_design_scores_gemma":[0.00006341693,0.0001350159,0.00193869,0.000005834343,0.00001313627,0.0001048952,0.00008012295,0.9246632,0.008995155,0.06357985,0.000395441,0.00002541386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935938,0.00003379152,0.004470576,0.00009575913,0.000005151881,0.000007671392,0.00002207277,0.00003523238,0.001736033],"genre_scores_gemma":[0.9985206,0.0000159849,0.001003644,0.00001171074,0.000002653061,0.000007435784,0.00002010399,0.00001129694,0.0004066555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003128961,"threshold_uncertainty_score":0.006285191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147520758030382,"score_gpt":0.258721173956422,"score_spread":0.2439690981533838,"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."}}