{"id":"W3109100680","doi":"10.82308/3059","title":"Dynamical systems based non equilibrium statistical mechanics for Markov chains","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Markov chain; Statistical mechanics; Statistical physics; Markov process; Computer science; Mathematical economics; Mathematics; Physics; Statistics; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001457599,0.0006970203,0.0007295544,0.00120482,0.000729342,0.001491421,0.001007779,0.0009057425,0.004032562],"category_scores_gemma":[0.003873249,0.0002886995,0.0008652206,0.0008606021,0.0029601,0.002301529,0.001501206,0.002036299,0.0004608327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644027,"about_ca_system_score_gemma":0.00109769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174968,"about_ca_topic_score_gemma":0.001972341,"domain_scores_codex":[0.9992542,0.0003689067,0.00003020717,0.0000979566,0.0001949382,0.00005381284],"domain_scores_gemma":[0.9973326,0.00196714,0.0002261891,0.0001833305,0.0001655013,0.0001253158],"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":[0.000001056959,0.000003306776,0.00004737626,0.00001157825,0.000003082119,0.00001796346,0.00002777924,0.005527965,0.0001379801,0.9932941,0.0001718774,0.0007559659],"study_design_scores_gemma":[0.00000323034,0.000007453617,0.00007811931,0.00001290945,0.000002988323,0.00002203847,0.00001093169,0.1041792,0.00008165087,0.8926443,0.002950165,0.000006970996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01560613,0.002681613,0.9616171,0.001841484,0.0002382634,0.00004394407,0.0001393961,0.00008956043,0.01774251],"genre_scores_gemma":[0.7166519,0.005600105,0.2551452,0.001018769,0.001120055,0.0005221064,0.00034831,0.0001419497,0.01945156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004032562,"threshold_uncertainty_score":0.01349026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06952225254246581,"score_gpt":0.2996079906735338,"score_spread":0.230085738131068,"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."}}