{"id":"W4407971823","doi":"10.37394/23202.2024.23.53","title":"An Optimal Landing Problem for a Bessel Process","year":2024,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON SYSTEMS","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process (computing); Bessel process; Bessel function; Computer science; Mathematics; Mathematical analysis; Programming language","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":[0.0002253979,0.0001360928,0.0002358121,0.0002162986,0.0002383702,0.000245927,0.0001681936,0.00009449354,0.00001919366],"category_scores_gemma":[0.000005717214,0.0001457728,0.000100754,0.0003849524,0.0000229285,0.0002554283,9.184438e-7,0.0001192347,0.0001551379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007322398,"about_ca_system_score_gemma":0.00004876291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007810364,"about_ca_topic_score_gemma":0.000007986485,"domain_scores_codex":[0.9988855,0.000002401795,0.0003867505,0.0004485546,0.00004030599,0.0002365082],"domain_scores_gemma":[0.9995268,0.00005208534,0.00007327916,0.0002079572,0.00004908309,0.00009077225],"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":[0.00004553094,0.0002270744,0.00002969638,0.0008120189,0.0000757957,0.000001575226,0.0008548833,0.01143746,0.00004666527,0.9817511,0.0001113023,0.004606838],"study_design_scores_gemma":[0.0009945285,0.0007456315,0.0001404036,0.0005170579,0.00008057414,0.00005157493,0.001100662,0.7303698,0.0002268932,0.1485667,0.1162121,0.000994096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001015584,0.001858589,0.9919811,0.0002401037,0.0005350981,0.0007864188,0.0009852059,0.0002202062,0.002377665],"genre_scores_gemma":[0.9953061,0.00002084158,0.001930499,0.00002417951,0.0002213201,0.002036007,0.00002843384,0.00004116744,0.0003913882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9942906,"threshold_uncertainty_score":0.5944442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209004675127743,"score_gpt":0.2713278721479428,"score_spread":0.2392378253966654,"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."}}