{"id":"W2089108253","doi":"10.1103/physrevlett.97.237203","title":"Induced Random Fields in the<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>LiHo</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi mathvariant=\"normal\">Y</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi mathvariant=\"normal\">F</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:math>Quantum Ising Magnet in a Transverse Magnetic Field","year":2006,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ising model; Physics; Condensed matter physics; Ferromagnetism; Spin glass; Magnetization; Phase transition; Spin (aerodynamics); Homogeneous space; Magnetic field; Quantum mechanics; Thermodynamics; Geometry; Mathematics","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":[0.0003081003,0.0003693065,0.0004017425,0.0008813529,0.0005971603,0.001829328,0.0005993967,0.0007587127,0.08218033],"category_scores_gemma":[0.0009163579,0.0002789505,0.0004730278,0.0008225266,0.0005833583,0.001377454,0.0007116192,0.001191115,0.01835931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187789,"about_ca_system_score_gemma":0.0008417175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302694,"about_ca_topic_score_gemma":0.002347188,"domain_scores_codex":[0.9996444,0.00007714271,0.00001589906,0.000058548,0.000134394,0.00006962992],"domain_scores_gemma":[0.9996946,0.00007065757,0.00003509414,0.00008118108,0.0000749606,0.00004355421],"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":[0.0001096146,0.00006682182,0.0001892264,0.00009234893,0.00001185281,0.0001746179,0.00006970525,0.002658123,0.01132029,0.9124738,0.06190015,0.01093342],"study_design_scores_gemma":[0.0002878957,0.0001561947,0.002552035,0.0001021786,0.00003628162,0.0006796345,0.0001514736,0.07836146,0.06515929,0.4615254,0.390826,0.0001621919],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07773539,0.0008883467,0.2421888,0.006250931,0.002571776,0.0004146526,0.01825731,0.007363477,0.6443294],"genre_scores_gemma":[0.4379253,0.001046966,0.08303697,0.001991998,0.0005343811,0.0007386762,0.01440532,0.00417571,0.4561447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08218033,"threshold_uncertainty_score":0.2749206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123790377171863,"score_gpt":0.2337985771934534,"score_spread":0.2214195394762671,"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."}}