{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01946462,0.002021953,0.004000814,0.00205496,0.002138262,0.005180238,0.004748547,0.005710565,0.01122689],"category_scores_gemma":[0.133467,0.002400513,0.001654919,0.002686396,0.007716427,0.01058022,0.006610165,0.007967534,0.001748417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003253768,"about_ca_system_score_gemma":0.003064572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006513,"about_ca_topic_score_gemma":0.001554151,"domain_scores_codex":[0.9834168,0.01209316,0.0004339224,0.00118698,0.001891074,0.0009781641],"domain_scores_gemma":[0.8367273,0.1453258,0.002857947,0.011128,0.002410002,0.001551022],"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":[0.001109931,0.0001490598,0.0007710868,0.0001747673,0.00007953744,0.00009724837,0.0002500906,0.1517009,0.0007007254,0.815556,0.003800433,0.02561029],"study_design_scores_gemma":[0.0001144986,0.00003001915,0.00008798004,0.00004224711,0.00001867668,0.0000308194,0.00001821994,0.435875,0.0004615056,0.5625908,0.0007052947,0.00002480923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01648498,0.0004855949,0.9765713,0.001549157,0.00009752886,0.0001029805,0.0001629409,0.0003349968,0.004210481],"genre_scores_gemma":[0.642525,0.001062052,0.3371282,0.001376709,0.0006316592,0.001201688,0.0007987419,0.0007657951,0.01451004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01946462,"threshold_uncertainty_score":0.10294,"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."}}