{"id":"W7097377463","doi":"","title":"CHAPTER 10. BIBLIOGRAPHY 86 Rosenthal, Jeffrey S. (1995) "Convergence rates of Markov chains", SIAM Review, 87, 387-405.","year":2007,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markov chain; Markov chain Monte Carlo; Probabilistic logic; Markov process; Bayesian network; Variable-order Markov model; Monte Carlo method; Bayesian probability; Markov model","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006195522,0.001202688,0.001117329,0.004946146,0.001559962,0.004196726,0.001342357,0.001430262,0.2968364],"category_scores_gemma":[0.003829885,0.0004082318,0.0007560678,0.007370583,0.0007881002,0.003427088,0.001593496,0.001937262,0.1478319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002779143,"about_ca_system_score_gemma":0.002385183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006936108,"about_ca_topic_score_gemma":0.007583777,"domain_scores_codex":[0.9992732,0.00009428662,0.00005460379,0.000156258,0.000358746,0.00006281946],"domain_scores_gemma":[0.9987071,0.0003857496,0.00008555657,0.0001108171,0.000589754,0.0001209925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001880621,0.00003151365,0.00009955558,0.0006764391,0.000005909336,0.00004647229,0.000149435,0.0002031934,0.0001417563,0.02800429,0.8736556,0.09696707],"study_design_scores_gemma":[0.000001611588,0.000004616682,0.000135291,0.0004142783,0.000002800271,0.0000694006,0.00005390028,0.00003798011,0.00003670485,0.006113465,0.9931258,0.000004125796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006205505,0.1667073,0.006455502,0.01055694,0.01849532,0.0002180509,0.006443718,0.0009837332,0.789519],"genre_scores_gemma":[0.008837384,0.1293255,0.006791815,0.003178747,0.00801707,0.0002810493,0.007247801,0.0008240376,0.8354964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7031636,"threshold_uncertainty_score":0.9930166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133957750087492,"score_gpt":0.3199395180826219,"score_spread":0.268599940581747,"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."}}