{"id":"W2170898214","doi":"10.1103/physreve.67.015701","title":"Cluster Monte Carlo algorithm for the quantum rotor model","year":2003,"lang":"en","type":"article","venue":"Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Monte Carlo method; Cluster (spacecraft); Quantum Monte Carlo; Statistical physics; Exponent; Monte Carlo algorithm; Physics; Rotor (electric); Quantum; Quantum computer; Point (geometry); Algorithm; Representation (politics); Quantum mechanics; Mathematics; Computer science; Statistics","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":[0.0008880097,0.0003685837,0.0007070461,0.0005790432,0.0009414873,0.0008247509,0.002124585,0.0009784792,0.005236767],"category_scores_gemma":[0.003118782,0.0003170629,0.0004680692,0.0008277931,0.0008874366,0.001002185,0.001228576,0.00116431,0.001302435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323534,"about_ca_system_score_gemma":0.00217926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008505836,"about_ca_topic_score_gemma":0.01035061,"domain_scores_codex":[0.9995023,0.0001638409,0.00001763424,0.00005771862,0.00018618,0.00007223627],"domain_scores_gemma":[0.9989333,0.0004211646,0.00005404351,0.0002397207,0.0002754612,0.00007637793],"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":[0.0001077743,0.00006042592,0.0006032888,0.00004868866,0.000048208,0.00006632876,0.00008460123,0.6509656,0.00174008,0.2988497,0.004487671,0.04293763],"study_design_scores_gemma":[0.00001200209,0.000005750685,0.00002731523,0.000001742285,0.00000265756,0.000005486154,0.000002951536,0.9794565,0.0002699779,0.01936389,0.0008464169,0.000005332156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01806908,0.00008887445,0.9745102,0.0003223125,0.00005922602,0.00009535519,0.0001107737,0.0007050521,0.006039173],"genre_scores_gemma":[0.310592,0.0001299546,0.6806144,0.0001866334,0.00005441763,0.0005970195,0.0003997176,0.0003521838,0.007073672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008505836,"threshold_uncertainty_score":0.01751876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630716945253452,"score_gpt":0.3099524335638553,"score_spread":0.2936452641113208,"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."}}