{"id":"W7112281608","doi":"","title":"Strong Decay of Correlations for Gibbs States in Any Dimension","year":2024,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique; Ministry of Colleges and Universities; Ministerio de Ciencia e Innovación; Government of Canada; Universidad Nacional de Educación a Distancia; Deutsche Forschungsgemeinschaft; Comunidad de Madrid; Agence Nationale de la Recherche; Villum Fonden","keywords":"Christian ministry; Agency (philosophy); Government (linguistics); Excellence; Research program; Research council; Foundation (evidence); Dimension (graph theory)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004421116,0.00008307191,0.0002372084,0.0001930385,0.00005007512,0.000005309961,0.000103307,0.00006562583,0.00001280626],"category_scores_gemma":[0.00005728698,0.00009401181,0.0001348207,0.0002124188,0.0000686899,0.0001181721,0.00006191582,0.00007979092,1.590188e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004828494,"about_ca_system_score_gemma":0.00006689094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003036766,"about_ca_topic_score_gemma":0.0002645189,"domain_scores_codex":[0.9993703,0.00005280315,0.0001506928,0.0001543594,0.0001175409,0.0001543479],"domain_scores_gemma":[0.9989749,0.0006518952,0.00007907786,0.0001704868,0.00008035466,0.00004325245],"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":[0.0003213776,0.0003268087,0.004475229,0.002125318,0.0003006197,0.00005735092,0.009154823,0.0005208197,0.01389166,0.9126629,0.0378968,0.01826633],"study_design_scores_gemma":[0.01277123,0.002063379,0.02237637,0.005053321,0.002011519,0.00004520988,0.08908487,0.6728845,0.02674992,0.02617839,0.1383224,0.002458904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8170687,0.0002694204,0.1784423,0.0002641436,0.0001773119,0.000288323,0.0001239983,0.00003572685,0.003330098],"genre_scores_gemma":[0.9584883,0.00005655925,0.03549019,0.000005635724,0.00001496484,5.329833e-7,0.00002076114,0.00001348774,0.005909564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8864844,"threshold_uncertainty_score":0.3833691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023258942037457,"score_gpt":0.3045401872309277,"score_spread":0.2643075978105532,"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."}}