{"id":"W1851262590","doi":"10.1103/physreva.66.033606","title":"Modeling Bose-Einstein condensed gases at finite temperatures with<i>N</i>-body simulations","year":2002,"lang":"en","type":"article","venue":"Physical Review A","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Physics; Semiclassical physics; Thermal; Bose–Einstein condensate; Kinetic energy; Statistical physics; Quantum electrodynamics; Quantum mechanics; Classical mechanics; Quantum; Thermodynamics","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":[],"category_scores_codex":[0.00005851051,0.0003979495,0.0006334126,0.00003931282,0.0003210926,0.00009888722,0.0002364425,0.00002212488,0.001146678],"category_scores_gemma":[0.00002159515,0.0003048319,0.0003097829,0.0003853264,0.00007507372,0.0002227448,0.0001137426,0.0002663435,0.000301195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003691606,"about_ca_system_score_gemma":0.0000294836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005456715,"about_ca_topic_score_gemma":0.000008524711,"domain_scores_codex":[0.9982425,0.00007744943,0.0003633426,0.0005057978,0.0003753566,0.0004355518],"domain_scores_gemma":[0.9986866,0.000294037,0.0001278189,0.0005479806,0.0001557587,0.0001878782],"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":[0.0003055798,0.01258183,0.0300805,0.00626026,0.003707257,0.0002172565,0.002934274,0.1573479,0.1964385,0.4454941,0.02802665,0.1166059],"study_design_scores_gemma":[0.001672201,0.000247984,0.0001043853,0.002856112,0.0005643821,0.000004148258,0.0000372308,0.9533111,0.007191302,0.009788563,0.02286619,0.001356363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825402,0.007602929,0.0006193016,0.000737915,0.00006766446,0.0008583052,0.000134457,0.0001223841,0.007316811],"genre_scores_gemma":[0.9974823,0.0002720112,0.00009630234,0.0006758384,0.0005141552,0.00008667048,0.00008600648,0.00005100503,0.000735732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7959632,"threshold_uncertainty_score":0.9999404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433894700316829,"score_gpt":0.2759546467574321,"score_spread":0.2516156997542638,"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."}}