{"id":"W2116854856","doi":"10.1109/ccece.2009.5090159","title":"Estimation of boundary properties using stochastic differential equations","year":2009,"lang":"en","type":"article","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Stochastic differential equation; Boundary (topology); Brownian motion; Fokker–Planck equation; Dispersion (optics); Applied mathematics; Computer science; Boundary value problem; Differential equation; Stochastic process; Inverse problem; Mathematics; Diffusion; Mathematical optimization; Statistical physics; Algorithm; Mathematical analysis; Physics; Statistics","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":[0.00008909313,0.00006087083,0.00009396467,0.00006181197,0.00007534155,0.0000660986,0.0001865689,0.00002645681,0.000008607132],"category_scores_gemma":[0.00003410475,0.00004571694,0.00003182486,0.0001237489,0.00002454993,0.0002976065,0.00003237518,0.00003985254,0.000001799249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001297329,"about_ca_system_score_gemma":0.00006053063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086759,"about_ca_topic_score_gemma":7.050675e-7,"domain_scores_codex":[0.9994614,0.00003799777,0.0001480333,0.0001237668,0.0001304701,0.00009831485],"domain_scores_gemma":[0.9996612,0.00002214425,0.0000486863,0.0001987062,0.00003981484,0.00002944352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004412655,0.00008317435,6.503843e-7,0.00001007223,0.000007132935,4.679219e-7,0.0007103062,0.01340366,0.03948569,0.4956318,0.00001994544,0.4506427],"study_design_scores_gemma":[0.00007674708,0.00004054438,0.00008051189,0.00001783851,0.000005917901,0.000002506729,0.000001978678,0.9353409,0.006263079,0.05811197,0.00000117449,0.00005686974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01392078,0.00004844593,0.9852472,0.0001761354,0.00009872273,0.00009143649,3.172498e-7,0.0000523347,0.000364637],"genre_scores_gemma":[0.5817583,1.782329e-7,0.4181288,0.00004071386,0.00001190994,7.036946e-7,3.059258e-7,0.000001206307,0.00005787453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9219372,"threshold_uncertainty_score":0.1864283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721647095066631,"score_gpt":0.292497203017311,"score_spread":0.2452807320666447,"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."}}