{"id":"W6892242059","doi":"10.48660/19090120","title":"Markov Chain Monte Carlo","year":2019,"lang":"it","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Markov chain Monte Carlo; Monte Carlo method; Markov chain; Markov process; Particle filter; Hybrid Monte Carlo","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":[0.002159555,0.001336991,0.001186579,0.002538386,0.001599412,0.004486146,0.002081168,0.002625686,0.1714274],"category_scores_gemma":[0.02001143,0.0009622075,0.001280441,0.002705655,0.00121332,0.00301146,0.002547372,0.00263339,0.07396138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051306,"about_ca_system_score_gemma":0.003635911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139866,"about_ca_topic_score_gemma":0.01566825,"domain_scores_codex":[0.9980323,0.000765716,0.00006571749,0.0004147844,0.0005402194,0.000181261],"domain_scores_gemma":[0.9901895,0.005656632,0.0003792068,0.002002009,0.001340437,0.0004321839],"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":[0.0002405492,0.000193075,0.001515836,0.0002640678,0.0001027213,0.0001438974,0.0001147004,0.1470138,0.0003353789,0.3237342,0.3132051,0.2131367],"study_design_scores_gemma":[0.00008474667,0.00002226414,0.000288172,0.0001380621,0.00002804326,0.00008687966,0.00002768089,0.5984766,0.0007277126,0.2786981,0.1213736,0.00004821131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004609962,0.001356541,0.6584387,0.00268802,0.0009128191,0.0004023222,0.01114898,0.01997559,0.300467],"genre_scores_gemma":[0.2368086,0.002099804,0.4033732,0.001505349,0.0009337603,0.001239231,0.02816338,0.01037098,0.3155057],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1714274,"threshold_uncertainty_score":0.5734819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291761140176136,"score_gpt":0.2383364204579529,"score_spread":0.2254188090561916,"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."}}