{"id":"W4205655865","doi":"10.1090/fic/026/08","title":"Exact sampling for Bayesian inference: Unbounded state spaces","year":2000,"lang":"en","type":"other","venue":"","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Inference; Bayesian probability; Bayesian inference; State (computer science); Sampling (signal processing); Mathematics; Statistics; Computer science; Artificial intelligence; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005349033,0.0004113205,0.0006967766,0.0005052281,0.0001584987,0.0006650737,0.0009420075,0.0002389758,0.01306861],"category_scores_gemma":[0.003129962,0.000300366,0.0001248139,0.0004875787,0.0001684093,0.0001916279,0.00009635679,0.0002582704,0.0005554085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004406732,"about_ca_system_score_gemma":0.0001643167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001116888,"about_ca_topic_score_gemma":0.0003635651,"domain_scores_codex":[0.9964256,0.00006108872,0.0006959427,0.001000389,0.001243411,0.0005735964],"domain_scores_gemma":[0.9944057,0.004118145,0.0004140778,0.0007042302,0.0001193594,0.0002385029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008850359,0.000056456,0.0003835694,0.0001068566,0.00007259517,0.00001044271,0.0001878822,0.0006250981,0.00002465187,0.007510121,0.3810702,0.6098636],"study_design_scores_gemma":[0.0002189456,0.0000427494,0.00003040054,0.00009055597,0.00001098232,7.110029e-7,0.00008934268,0.0006724425,0.00003521296,0.2802354,0.7182091,0.0003641944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000003513862,0.0001777718,0.5955091,0.00005033165,0.0004285069,0.0003087698,0.0002234114,0.000190573,0.4031081],"genre_scores_gemma":[0.003285832,0.00009533679,0.1810341,0.00006874157,0.0004457697,0.00005447664,0.00002262057,0.0003151453,0.814678],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6094994,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1515172380800515,"score_gpt":0.4735051583186484,"score_spread":0.3219879202385968,"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."}}