{"id":"W53926338","doi":"10.1007/978-1-4614-4057-4_3","title":"Finite Markov Chains II","year":2012,"lang":"en","type":"book-chapter","venue":"Universitext","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Brock University","funders":"","keywords":"Markov chain; Finite state; Markov process; Statistical physics; Examples of Markov chains; Markov renewal process; State (computer science); Computer science; Balance equation; Markov model; Mathematics; Markov property; Physics; Algorithm; Statistics; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007757712,0.0008901869,0.0007664199,0.001084877,0.0007931821,0.002331434,0.0006943995,0.001130642,0.01655076],"category_scores_gemma":[0.00321357,0.0005547825,0.0006844939,0.001214626,0.001889408,0.002597343,0.000934138,0.002398325,0.002916778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944215,"about_ca_system_score_gemma":0.001261753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002492046,"about_ca_topic_score_gemma":0.001389646,"domain_scores_codex":[0.9994339,0.0001690878,0.00002301968,0.000127202,0.0001995577,0.00004722747],"domain_scores_gemma":[0.9987206,0.0008981993,0.00004789126,0.0001326559,0.0001523936,0.00004825003],"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":[0.000004259743,0.000009791061,0.00006621746,0.00003095498,0.000006199834,0.00002712251,0.00008524524,0.004865436,0.0001053673,0.9777352,0.005471538,0.01159266],"study_design_scores_gemma":[0.00000262846,0.000004614289,0.00007598348,0.00003498356,0.000004094588,0.00003235938,0.00002302278,0.01233504,0.0001189731,0.9634231,0.02393856,0.000006526294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00940109,0.01679347,0.5039185,0.00407381,0.001536803,0.00008008534,0.000617278,0.0003844793,0.4631945],"genre_scores_gemma":[0.4952278,0.02406145,0.06648044,0.001613188,0.00170102,0.0005351452,0.001218002,0.0004290247,0.4087339],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01655076,"threshold_uncertainty_score":0.05536777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340535627359369,"score_gpt":0.2004787114924591,"score_spread":0.1770733552188654,"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."}}