{"id":"W2068828332","doi":"10.1016/s0167-7152(99)00134-0","title":"Slow hit-and-run sampling","year":2000,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Distribution (mathematics); Rate of convergence; Convergence (economics); Statistics; Sampling (signal processing); Econometrics; Computer science; Mathematical analysis; Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.001020938,0.0002356044,0.0003440921,0.00004221603,0.0001511447,0.00006998943,0.0001612503,0.00007694462,0.0002982219],"category_scores_gemma":[0.0008251536,0.0002213694,0.00006566886,0.0001051753,0.0002128729,0.00006549742,0.00004990561,0.0002461022,0.000001478657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008281007,"about_ca_system_score_gemma":0.00002976172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004867334,"about_ca_topic_score_gemma":0.00005009809,"domain_scores_codex":[0.9982165,0.0002276761,0.0004413428,0.0004499661,0.0002626659,0.0004018344],"domain_scores_gemma":[0.99809,0.00109287,0.00008293847,0.0005199884,0.00006500584,0.0001492028],"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":[0.0001278195,0.0002453821,0.002047272,0.0009915559,0.0001088966,0.00003882349,0.002451928,0.00001598693,0.00433334,0.6364809,0.03104237,0.3221157],"study_design_scores_gemma":[0.0006599228,0.00008270791,0.001048565,0.00006502953,0.0001064458,0.00002138682,0.00001929959,0.0007872708,0.0001948397,0.9659411,0.03052143,0.0005520186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3680313,0.00003500438,0.6281064,0.001250366,0.0001311323,0.0004195925,0.0001668338,0.0001123354,0.001747019],"genre_scores_gemma":[0.01081989,0.0000267561,0.9870722,0.00128174,0.0001117499,0.0000388486,0.00002045559,0.00003744073,0.0005909631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3589657,"threshold_uncertainty_score":0.9027181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07282506604029688,"score_gpt":0.3395339931364096,"score_spread":0.2667089270961127,"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."}}