{"id":"W2246577649","doi":"10.1103/physrevb.92.115146","title":"Detecting Goldstone modes with entanglement entropy","year":2015,"lang":"en","type":"article","venue":"Physical Review B","topic":"Quantum many-body systems","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Industry Canada; Seventh Framework Programme; European Research Council; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Quantum entanglement; Goldstone; Statistical physics; Entropy (arrow of time); Physics; Monte Carlo method; Quantum Monte Carlo; Ground state; Rényi entropy; Quantum mechanics; Quantum; Mathematics; Principle of maximum entropy; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001932778,0.0001827215,0.0003948426,0.00001411078,0.00004584809,0.00003094651,0.0001599909,0.000006982889,0.00006427035],"category_scores_gemma":[0.00001215509,0.0001281832,0.0001006703,0.0001648445,0.00003308782,0.0001195467,0.00005889442,0.0001204323,0.0003750448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004883671,"about_ca_system_score_gemma":0.0000482541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001384674,"about_ca_topic_score_gemma":0.000001790726,"domain_scores_codex":[0.9988544,0.00008208293,0.0002146338,0.0002513719,0.0003251875,0.0002723139],"domain_scores_gemma":[0.9992469,0.00004281059,0.000142788,0.0003138043,0.00007984929,0.0001738574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007371644,0.00149892,0.02370559,0.001987241,0.0005703446,0.00001830973,0.001236963,0.0002314007,0.0101881,0.8484102,0.0107615,0.1013177],"study_design_scores_gemma":[0.01321872,0.004345346,0.002264359,0.03016356,0.00316005,0.00004488639,0.005468593,0.1485001,0.09551688,0.1198648,0.5703897,0.007063021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663737,0.006239914,0.005787324,0.0005131146,0.0001288434,0.001071079,0.00001635524,0.0001056281,0.01976397],"genre_scores_gemma":[0.9987051,0.00003162721,0.0002240567,0.0001118958,0.000664468,0.0001219435,0.00001155003,0.00002417284,0.0001051609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7285454,"threshold_uncertainty_score":0.5227157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731320219205334,"score_gpt":0.309217935929282,"score_spread":0.2819047337372287,"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."}}