{"id":"W4415390536","doi":"10.1016/j.spa.2025.104806","title":"Guided smoothing and control for diffusion processes","year":2025,"lang":"en","type":"article","venue":"Stochastic Processes and their Applications","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE European Research Council; Stiftelsen Chalmers tekniska högskola; European Research Council; Vetenskapsrådet; Fondation Chalmers; European Commission","keywords":"Smoothing; Diffusion process; Markov chain Monte Carlo; Monte Carlo method; Stochastic differential equation; Conditional probability distribution; Markov chain; Markov process; Diffusion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468094,0.0008893357,0.0009844205,0.001039619,0.0006497354,0.001540249,0.0009723035,0.001288199,0.0021946],"category_scores_gemma":[0.009303216,0.0003742349,0.0008914772,0.000735048,0.002250289,0.001537135,0.001402981,0.001349758,0.0002536289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720598,"about_ca_system_score_gemma":0.001579209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006892151,"about_ca_topic_score_gemma":0.003258005,"domain_scores_codex":[0.9991485,0.0003192336,0.00003344459,0.0002009241,0.0002199272,0.00007800752],"domain_scores_gemma":[0.9972112,0.001763517,0.0003262254,0.0001996535,0.000367605,0.0001319403],"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":[0.00007199851,0.00003717795,0.0004576026,0.0001110466,0.0000419962,0.00007360945,0.0001378743,0.4855085,0.003083429,0.4866746,0.0007604707,0.02304175],"study_design_scores_gemma":[0.00001170658,0.00002789808,0.0001309734,0.0000124605,0.000007372906,0.00001395603,0.000009017429,0.9008325,0.0005016151,0.09742206,0.001017833,0.0000126202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01419276,0.0004578182,0.9813046,0.000242609,0.00005033434,0.0000279207,0.00002889956,0.0001193081,0.003575801],"genre_scores_gemma":[0.8273047,0.001070435,0.161489,0.0002173144,0.0001745516,0.0002139289,0.0001479244,0.0001474382,0.009234752],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006892151,"threshold_uncertainty_score":0.01370406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155525311613171,"score_gpt":0.2620007888361426,"score_spread":0.2504455357200109,"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."}}