{"id":"W2898523125","doi":"10.1007/jhep03(2019)075","title":"Generalized Gibbs ensemble and the statistics of KdV charges in 2D CFT","year":2019,"lang":"en","type":"preprint","venue":"Journal of High Energy Physics","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Alexander S. Onassis Public Benefit Foundation; Simons Foundation","keywords":"Partition function (quantum field theory); Ministate; Charge (physics); Korteweg–de Vries equation; Physics; Saddle point; Canonical ensemble; Microcanonical ensemble; Degeneracy (biology); Mathematical physics; Statistical ensemble; Grand canonical ensemble; Statistical physics; Quantum mechanics; Mathematics; Statistics; Monte Carlo method; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898759,0.0003659923,0.0006099644,0.001979133,0.001123172,0.001530618,0.0008911493,0.0008920892,0.001985161],"category_scores_gemma":[0.003504769,0.0002794064,0.0004017086,0.0009310516,0.002439249,0.002125485,0.0009613695,0.0006479606,0.0001502964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020558,"about_ca_system_score_gemma":0.0006775412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398859,"about_ca_topic_score_gemma":0.001857304,"domain_scores_codex":[0.9995409,0.00014738,0.00001617953,0.00004925073,0.000136985,0.0001092819],"domain_scores_gemma":[0.9987596,0.0004252566,0.0001688616,0.000150829,0.0002364281,0.0002590066],"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":[0.00004956191,0.0000408245,0.001515806,0.00003815531,0.00001709072,0.0001385176,0.0001723459,0.03512342,0.002813211,0.9564815,0.0007108763,0.002898721],"study_design_scores_gemma":[0.00002486912,0.00003320846,0.001872166,0.00001730867,0.000007221628,0.0001350925,0.00009712356,0.3328664,0.0008642411,0.663362,0.0006792507,0.000041128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389488,0.0004559415,0.05085796,0.0004755171,0.00007374884,0.00002541398,0.0001690432,0.0001386843,0.008854842],"genre_scores_gemma":[0.9958216,0.0001316517,0.002631963,0.00004655762,0.00006790523,0.00003341704,0.0001048286,0.00003743387,0.001124619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002398859,"threshold_uncertainty_score":0.007404745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007191638263343097,"score_gpt":0.2244964420913345,"score_spread":0.2173048038279914,"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."}}