{"id":"W2543674304","doi":"10.1103/physreve.94.043323","title":"Renormalized multicanonical sampling in multiple dimensions","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spins; Monte Carlo method; Statistical physics; Scaling; Ising model; Physics; Sampling (signal processing); Hybrid Monte Carlo; Monte Carlo method in statistical physics; Matrix (chemical analysis); Ising spin; Stochastic matrix; Importance sampling; Condensed matter physics; Markov chain Monte Carlo; Materials science; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001004468,0.0001512069,0.0003376996,0.00001717127,0.0000506209,0.000009501257,0.00015289,0.00001219117,0.0002082066],"category_scores_gemma":[0.00008123962,0.00009246661,0.0001877892,0.0001743947,0.0001024598,0.00009758447,0.00009583366,0.0001227063,0.0004006111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001980324,"about_ca_system_score_gemma":0.0000349326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002151884,"about_ca_topic_score_gemma":6.721333e-7,"domain_scores_codex":[0.9989406,0.00008027377,0.0002642563,0.0002623993,0.0001770609,0.0002754149],"domain_scores_gemma":[0.9986989,0.000853825,0.00005933502,0.0002147588,0.00004863368,0.0001245319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002104719,0.0004781184,0.005729339,0.0000395352,0.00002158956,8.748852e-7,0.00002381341,0.00003292999,0.008475577,0.9214122,0.000173081,0.06359186],"study_design_scores_gemma":[0.001500151,0.00004941025,0.007539428,0.001415712,0.00005171586,4.309882e-7,0.000009184278,0.002099275,0.002578868,0.9762058,0.008148051,0.0004019502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492033,0.0006225778,0.03905648,0.002781248,0.0001114183,0.0005446742,0.00006184845,0.00007196842,0.007546515],"genre_scores_gemma":[0.9986339,0.00006944556,0.0006584901,0.000248241,0.0002635315,0.00005650487,0.00001238288,0.00001487154,0.00004258293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06318991,"threshold_uncertainty_score":0.514918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501983067231816,"score_gpt":0.3316764976979195,"score_spread":0.3066566670256013,"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."}}