{"id":"W2599841037","doi":"10.1140/epjb/e2017-70747-x","title":"Dynamic canonical and microcanonical transition matrix analyses of critical behavior","year":2017,"lang":"en","type":"article","venue":"The European Physical Journal B","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Markov chain; Stochastic matrix; Statistical physics; Matrix (chemical analysis); Transition rate matrix; Transition (genetics); Continuous-time Markov chain; Sampling (signal processing); State-transition matrix; Variation (astronomy); Computer science; Algorithm; Mathematics; Balance equation; Markov model; Statistics; Physics; Materials science; Chemistry; Symmetric matrix; Quantum mechanics","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":[0.0003000992,0.000334298,0.0003335757,0.001967989,0.0007038507,0.0009461764,0.0008026674,0.0004083245,0.00744906],"category_scores_gemma":[0.002476336,0.0001813712,0.0003954059,0.0006157377,0.001115157,0.001543809,0.0008123647,0.0006813016,0.0003902996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139677,"about_ca_system_score_gemma":0.0006844303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707658,"about_ca_topic_score_gemma":0.003418359,"domain_scores_codex":[0.9998707,0.00002602231,0.000004393719,0.00002161161,0.00004012564,0.00003715442],"domain_scores_gemma":[0.9992253,0.0002393905,0.0001093636,0.0001062315,0.0001874728,0.0001323295],"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":[0.00005716367,0.00004370119,0.0005650963,0.00003869448,0.00001251463,0.0000823298,0.0001928183,0.02532841,0.005716517,0.961403,0.001435902,0.00512393],"study_design_scores_gemma":[0.00001465737,0.00002645953,0.001460784,0.00001415372,0.00001491771,0.00009501701,0.000157365,0.6223572,0.002410821,0.3717484,0.001658166,0.0000421709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890053,0.0005911419,0.1482202,0.001072884,0.0001457495,0.0000846437,0.0003374418,0.0005309007,0.0600117],"genre_scores_gemma":[0.9893527,0.000163252,0.005546604,0.00006599099,0.00006317181,0.00003834726,0.00008847371,0.0001050962,0.004576308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00744906,"threshold_uncertainty_score":0.02491957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173735914715721,"score_gpt":0.3465886259065984,"score_spread":0.3292150344350264,"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."}}