{"id":"W4246525470","doi":"10.1090/fic/026/04","title":"Taming zero modes in lattice QCD with the polynomial hybrid Monte Carlo algorithm","year":2000,"lang":"en","type":"other","venue":"","topic":"Quantum Chromodynamics and Particle Interactions","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Monte Carlo method; Lattice QCD; Lattice (music); Algorithm; Hybrid Monte Carlo; Zero (linguistics); Statistical physics; Quantum chromodynamics; Physics; Mathematics; Computer science; Markov chain Monte Carlo; Particle physics; 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":[0.001919777,0.0004728544,0.0009558626,0.0007108444,0.0009160475,0.001221275,0.001561855,0.0007972255,0.003065147],"category_scores_gemma":[0.005953428,0.0003688506,0.0004990306,0.0007616212,0.002583231,0.001938273,0.001874265,0.001548358,0.0004760707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009754267,"about_ca_system_score_gemma":0.001384599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003704918,"about_ca_topic_score_gemma":0.004122353,"domain_scores_codex":[0.9989184,0.0005632255,0.00002439285,0.00007901173,0.0002946216,0.0001203612],"domain_scores_gemma":[0.9967716,0.002267971,0.0001273357,0.0004724894,0.0002315915,0.0001288713],"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":[0.0003789358,0.0001085848,0.0006610968,0.00005046246,0.00003479993,0.00005796164,0.0001104133,0.4025528,0.001274523,0.5608415,0.001578263,0.03235071],"study_design_scores_gemma":[0.0000264244,0.00001394645,0.00002947141,0.000003248697,0.000004096204,0.0000088726,0.000007311638,0.8395417,0.0004220105,0.1596429,0.0002927576,0.000007213813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1112758,0.0002346247,0.8719566,0.0004416694,0.00009016899,0.00004993986,0.00005242919,0.0008952835,0.01500351],"genre_scores_gemma":[0.8022833,0.0001219845,0.1919978,0.0001164304,0.00006410178,0.00007240707,0.00006427336,0.0002504794,0.005029269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003704918,"threshold_uncertainty_score":0.01025391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005253163089449888,"score_gpt":0.2245408373073837,"score_spread":0.2192876742179338,"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."}}