{"id":"W2272436318","doi":"10.1103/physreva.94.023629","title":"Large-coordination-number expansion of a lattice Bose gas at finite temperature","year":2016,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Seventh Framework Programme","keywords":"Bose gas; Physics; Boson; Superfluidity; Ising model; Condensed matter physics; Quantum Monte Carlo; Lattice (music); Bose–Hubbard model; Coordination number; Partition function (quantum field theory); Monte Carlo method; Phase transition; Critical line; Lattice gas automaton; Phase diagram; Quantum mechanics; Phase (matter); Bose–Einstein condensate; Stochastic cellular automaton; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003996059,0.0006995841,0.001861013,0.00003860265,0.0002063589,0.00003844791,0.0005777033,0.00005207236,0.0009187922],"category_scores_gemma":[0.0002689495,0.0004430013,0.001321394,0.0008055369,0.0001685156,0.0004349551,0.0004433262,0.0003843785,0.001537554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008932127,"about_ca_system_score_gemma":0.0001290715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002374825,"about_ca_topic_score_gemma":0.000002828246,"domain_scores_codex":[0.9962879,0.0003225658,0.0008815452,0.0009028542,0.0008616374,0.0007435091],"domain_scores_gemma":[0.9962268,0.001147768,0.0006501665,0.001137376,0.0004860856,0.0003517984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008071147,0.004014207,0.009060708,0.01026731,0.0006117199,0.00001539129,0.0003077777,0.000002197464,0.5317129,0.2741824,0.03479371,0.1349509],"study_design_scores_gemma":[0.004116329,0.0005790118,0.002297929,0.0768943,0.002775129,0.000007257354,0.00005068198,0.001356472,0.3137112,0.2300906,0.3646708,0.003450183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720817,0.014647,0.0004486491,0.00417139,0.0001702842,0.00172498,0.0003854595,0.00009453985,0.006275988],"genre_scores_gemma":[0.9839873,0.01245756,0.00006422294,0.001119073,0.0009963246,0.0003058935,0.0001049136,0.00008019348,0.0008845284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298771,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106762212693787,"score_gpt":0.3248788466844231,"score_spread":0.3142026254150444,"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."}}