{"id":"W7162449076","doi":"10.1109/urtc68753.2025.11532987","title":"Optimally Revealing Bits for Rejection Sampling","year":2025,"lang":"","type":"article","venue":"","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"","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"],"consensus_categories":[],"category_scores_codex":[0.003296564,0.0003875619,0.000672755,0.0003400761,0.0004733027,0.0001962911,0.0002650735,0.0003855538,0.00007741066],"category_scores_gemma":[0.003369865,0.0003818038,0.0004584951,0.0005401073,0.00004955653,0.0001319093,0.0001748678,0.0002909933,2.359952e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062215,"about_ca_system_score_gemma":0.0002584072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000368574,"about_ca_topic_score_gemma":0.00005493821,"domain_scores_codex":[0.9973018,0.000186546,0.001032621,0.0006695061,0.0001979298,0.0006115513],"domain_scores_gemma":[0.9959306,0.00248474,0.0002775955,0.0006678242,0.0005200148,0.0001191855],"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":[0.000396492,0.000325043,0.00006226327,0.005494538,0.0005098773,0.00000246631,0.000818825,0.0005538834,0.01527873,0.7880861,0.02160493,0.1668668],"study_design_scores_gemma":[0.006362983,0.0008867047,0.0000355458,0.00610324,0.002125584,0.00002291502,0.005542977,0.2958847,0.06308087,0.1211742,0.4965412,0.002239066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004742661,0.0009149305,0.8852251,0.00121815,0.002442154,0.001505259,0.00002212334,0.0001484858,0.1037811],"genre_scores_gemma":[0.01327502,0.0003170937,0.8745187,0.0006836495,0.0004345427,0.0001429565,0.00000947271,0.00005952936,0.110559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6669118,"threshold_uncertainty_score":0.9998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1318391279231593,"score_gpt":0.4422566038477037,"score_spread":0.3104174759245444,"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."}}