{"id":"W4253793191","doi":"10.1007/978-1-4939-7131-2_100635","title":"Markov Random Fields","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain; Mathematics; Statistics","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":[0.000632597,0.001146349,0.0009370123,0.001109266,0.0004616958,0.001899243,0.0008508267,0.001184569,0.04428456],"category_scores_gemma":[0.002640191,0.0004349503,0.000502044,0.001479883,0.000991069,0.002125442,0.001019197,0.001881363,0.01731121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186296,"about_ca_system_score_gemma":0.001207377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685551,"about_ca_topic_score_gemma":0.002120581,"domain_scores_codex":[0.9995579,0.0001257463,0.00001568533,0.00008358421,0.0001913422,0.00002565271],"domain_scores_gemma":[0.9992549,0.0004739541,0.0000284793,0.00009383656,0.000115085,0.00003375221],"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":[0.00001179773,0.00003569451,0.0001164053,0.0001823122,0.00001682189,0.00004363167,0.00006670762,0.01406884,0.0003483223,0.7133271,0.1109287,0.1608536],"study_design_scores_gemma":[0.000005633766,0.000009365834,0.0001449006,0.0001533947,0.000009314305,0.00007169569,0.00002236936,0.0220747,0.0003397005,0.6895783,0.2875747,0.00001595903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001893488,0.02318763,0.4925826,0.003850134,0.002149015,0.00008030317,0.001056813,0.001274789,0.4739253],"genre_scores_gemma":[0.09244104,0.03631311,0.1220678,0.001673131,0.003178531,0.0003886877,0.002883326,0.001042571,0.7400118],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04428456,"threshold_uncertainty_score":0.1481466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221142640222776,"score_gpt":0.4012588534431301,"score_spread":0.2791445894208524,"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."}}