{"id":"W4294434781","doi":"10.1088/1361-6455/ac8e3b","title":"Glassy disorder-induced effects in noisy dynamics of Bose–Hubbard and Fermi–Hubbard systems","year":2022,"lang":"en","type":"article","venue":"Journal of Physics B Atomic Molecular and Optical Physics","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Qingdao University of Science and Technology; Department of Science and Technology, Ministry of Science and Technology, India; Harish-Chandra Research Institute","keywords":"Hamiltonian (control theory); Physics; Observable; Fermion; Fermi Gamma-ray Space Telescope; Hubbard model; Quantum entanglement; Bipartite graph; Quantum mechanics; Ground state; Ultracold atom; Statistical physics; Quantum; Condensed matter physics; Superconductivity; 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":[0.0003899639,0.0001287745,0.000227281,0.000324584,0.0002936655,0.0004727037,0.0002378581,0.0001941821,0.0004879364],"category_scores_gemma":[0.00210107,0.0001134884,0.0001781756,0.0001097911,0.0008987379,0.0004759616,0.0003037505,0.0002233516,0.00002890344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193508,"about_ca_system_score_gemma":0.0002626988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001648431,"about_ca_topic_score_gemma":0.001509564,"domain_scores_codex":[0.9998617,0.00004985498,0.000007575817,0.00001850775,0.00003344852,0.00002880106],"domain_scores_gemma":[0.9990257,0.0004378679,0.0002081106,0.0001020793,0.00008036174,0.0001458766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001007569,0.0002624833,0.02348448,0.0001270334,0.0001652011,0.001124309,0.001092236,0.431411,0.4834647,0.05284031,0.000304973,0.004715665],"study_design_scores_gemma":[0.00002918466,0.00009913482,0.008393257,0.000007315974,0.00002013088,0.00006074172,0.00008933259,0.9567733,0.02919596,0.005138583,0.0001673997,0.00002557267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968653,0.000022127,0.002703146,0.00003752306,0.000004534736,0.000004129303,0.0000139273,0.00002266045,0.000326709],"genre_scores_gemma":[0.9996746,0.000006854551,0.0002623503,0.000003234907,0.000001967994,0.000001795177,0.000005883599,0.00000276572,0.00004051912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001648431,"threshold_uncertainty_score":0.003277659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00496840726985476,"score_gpt":0.2168465205777643,"score_spread":0.2118781133079095,"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."}}