{"id":"W2066344537","doi":"10.1103/physreve.71.047701","title":"Imaginary-chemical-potential quantum Monte Carlo method for Hubbard molecules","year":2005,"lang":"en","type":"article","venue":"Physical Review E","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Quantum Monte Carlo; Hubbard model; The Imaginary; Monte Carlo method; Quantum chemical; Statistical physics; Quantum; Physics; Molecule; Quantum mechanics; Mathematics; Statistics; Psychology","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":[0.0009039661,0.0003853927,0.0008990942,0.0004972161,0.0008204777,0.0006711921,0.002021462,0.0009971728,0.003449251],"category_scores_gemma":[0.001407626,0.0002380001,0.0004148653,0.0008433195,0.000909783,0.0008096363,0.0005763109,0.001304322,0.0008195395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008254853,"about_ca_system_score_gemma":0.001774685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005883012,"about_ca_topic_score_gemma":0.006734184,"domain_scores_codex":[0.9997092,0.00013111,0.000008977008,0.00001871837,0.00009617244,0.00003579268],"domain_scores_gemma":[0.9993802,0.0002292902,0.00003964099,0.0001379718,0.0001525842,0.00006015155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006698719,0.00009023582,0.0003854714,0.0001124056,0.00003646284,0.0001844909,0.00007395547,0.5950833,0.003804993,0.3761504,0.002604888,0.02140645],"study_design_scores_gemma":[0.00001457947,0.000006720684,0.0000361075,0.000005369419,0.000003065153,0.00001187689,0.000003651367,0.9779048,0.0002977304,0.02030863,0.001399144,0.000008412111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03847957,0.0008616417,0.9456965,0.0005911518,0.0002414434,0.0002212529,0.0003029263,0.0006789535,0.01292659],"genre_scores_gemma":[0.4186872,0.0007477331,0.5709885,0.0004009038,0.0001380044,0.0008441909,0.000381483,0.0004800976,0.007331909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005883012,"threshold_uncertainty_score":0.01169753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143217228347028,"score_gpt":0.3448938189102569,"score_spread":0.3305720960755541,"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."}}