{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004583089,0.001133918,0.00205749,0.003661325,0.003100375,0.00513191,0.002372582,0.002118012,0.01231915],"category_scores_gemma":[0.03035365,0.001334701,0.001672492,0.001412597,0.006459069,0.007064936,0.006285808,0.004842975,0.001475707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003343501,"about_ca_system_score_gemma":0.001852667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803131,"about_ca_topic_score_gemma":0.003434438,"domain_scores_codex":[0.9967423,0.001151395,0.0001541642,0.0006553329,0.0006158658,0.0006810856],"domain_scores_gemma":[0.9677771,0.01750627,0.002882639,0.004916983,0.002700994,0.004215995],"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":[0.0001070944,0.00004928367,0.001199202,0.0001164254,0.00003311814,0.000151306,0.0002201385,0.004723455,0.0009909043,0.9849458,0.004796656,0.00266657],"study_design_scores_gemma":[0.0000305307,0.00002810129,0.0009684197,0.00005305726,0.00001162778,0.0001242682,0.00006283076,0.0634309,0.0005408888,0.9335083,0.001196361,0.00004463065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4429156,0.00247808,0.4800078,0.007373336,0.0007861516,0.0002006866,0.00236204,0.00241668,0.06145969],"genre_scores_gemma":[0.9584948,0.0005904092,0.02506799,0.00112634,0.0004353521,0.0003027505,0.001208096,0.0005696535,0.01220462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231915,"threshold_uncertainty_score":0.04121166,"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."}}