{"id":"W3092581543","doi":"10.1103/physrevlett.127.030602","title":"Easy Access to Energy Fluctuations in Nonequilibrium Quantum Many-Body Systems","year":2021,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Instituto de Ciência e Tecnologia de Nanomateriais de Carbono; Instituto Nacional de Ciência e Tecnologia de Informação Quântica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Universidade Federal do ABC; Canadian Institute for Advanced Research; Innovation, Science and Economic Development Canada; Royal Society; Government of Ontario","keywords":"Statistical physics; Quantum; Non-equilibrium thermodynamics; Physics; Physical system; Stochastic matrix; Energy (signal processing); Spin (aerodynamics); Computer science; Quantum system; Simple (philosophy); Quantum mechanics","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":[0.0008154172,0.0004211381,0.0005247606,0.0007271203,0.000543328,0.0006920377,0.00107187,0.0005731032,0.001496967],"category_scores_gemma":[0.003632599,0.0003701988,0.0002028173,0.000380844,0.001899301,0.001864635,0.001367472,0.001505633,0.0001755853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179759,"about_ca_system_score_gemma":0.0003158504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002554822,"about_ca_topic_score_gemma":0.0002685269,"domain_scores_codex":[0.9996021,0.0001187336,0.00001892355,0.000088124,0.0001357192,0.0000363824],"domain_scores_gemma":[0.9981146,0.001011818,0.0001984134,0.0004581771,0.000109014,0.0001079927],"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":[0.0002960585,0.0002615313,0.003787813,0.0002446537,0.00006079704,0.0005741351,0.0005105551,0.06316658,0.2129434,0.6834769,0.000613274,0.03406432],"study_design_scores_gemma":[0.00004030337,0.0001395438,0.002224872,0.00002222936,0.00001144974,0.0001854003,0.00007328188,0.601855,0.05403791,0.3402106,0.001120746,0.00007867369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4895789,0.0004372387,0.5017049,0.0004945726,0.00007324832,0.00005773155,0.000161004,0.000676106,0.006816278],"genre_scores_gemma":[0.9761084,0.0001264812,0.0230528,0.00004858795,0.00003534956,0.00004802669,0.00004745119,0.00004581791,0.0004871336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001496967,"threshold_uncertainty_score":0.005007863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591285163619501,"score_gpt":0.3127818209176002,"score_spread":0.2968689692814052,"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."}}