{"id":"W4399693468","doi":"10.1007/978-3-031-55964-8_3","title":"Markov Chain Monte Carlo","year":2024,"lang":"en","type":"book-chapter","venue":"Undergraduate texts in mathematics","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Markov chain Monte Carlo; Monte Carlo method; Statistical physics; Markov chain; Computer science; Mathematics; Statistics; Physics; 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":[0.001085213,0.0007884454,0.001040965,0.0009091145,0.0006501754,0.001990911,0.00121589,0.001647113,0.05855883],"category_scores_gemma":[0.006032175,0.00065247,0.0006378101,0.001261592,0.001110429,0.00179468,0.001301602,0.002172443,0.01601251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009751637,"about_ca_system_score_gemma":0.001309427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196705,"about_ca_topic_score_gemma":0.002774283,"domain_scores_codex":[0.9990595,0.000357305,0.00002137705,0.0001288359,0.0003845224,0.00004843549],"domain_scores_gemma":[0.9976408,0.001642125,0.00005443002,0.0003481646,0.0002395424,0.00007488018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002150737,0.00006057532,0.0002043035,0.0001014511,0.00002945198,0.00005692816,0.00006941115,0.06915271,0.0003024344,0.7692266,0.0448361,0.1159384],"study_design_scores_gemma":[0.00001391822,0.00001740496,0.00016134,0.00008930903,0.00001439305,0.00009418872,0.0000201089,0.1835267,0.0005308733,0.7017868,0.1137242,0.00002075304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001596951,0.002280858,0.7729183,0.0009172776,0.0005200281,0.00008116939,0.0003543314,0.001127086,0.220204],"genre_scores_gemma":[0.1536343,0.006346498,0.3383095,0.001317981,0.0007422504,0.0005076728,0.001519087,0.001754591,0.4958682],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05855883,"threshold_uncertainty_score":0.1958988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08308538155294448,"score_gpt":0.3681951503788004,"score_spread":0.2851097688258559,"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."}}