{"id":"W2538363301","doi":"10.5539/ijsp.v5n6p22","title":"Convolution Based Unit Root Processes: a Simulation Approach","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit root; Convolution (computer science); Mathematics; Root (linguistics); Copula (linguistics); Unit (ring theory); Process (computing); Function (biology); Applied mathematics; Computer science; Statistics; Econometrics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373702,0.00008178827,0.0001788424,0.0001091014,0.00004849141,0.00004711827,0.0001803241,0.00004786913,0.00004655672],"category_scores_gemma":[0.001145089,0.00006541705,0.00003204766,0.0001057454,0.0000941866,0.0001813959,0.00002472864,0.00006618211,0.00001006226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007321045,"about_ca_system_score_gemma":0.0001036069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002084776,"about_ca_topic_score_gemma":0.000008844076,"domain_scores_codex":[0.9990557,0.000005695358,0.0005896086,0.0001648282,0.0000886065,0.0000955316],"domain_scores_gemma":[0.9982429,0.0002712537,0.0005736242,0.00008649413,0.0007644306,0.00006134661],"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":[0.000109755,0.0002042991,0.02267734,0.00007000205,0.00004182687,0.00000153951,0.00009453833,0.0008743354,0.00002037945,0.9645079,0.00004960801,0.01134852],"study_design_scores_gemma":[0.0008307311,0.0001039208,0.03813902,0.00004034637,0.000008880247,0.000009353512,0.000008531187,0.01385282,0.00002041013,0.940951,0.005918342,0.000116654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01186202,0.0002555222,0.9857624,0.0006603007,0.0001744135,0.000114697,0.000685817,0.000006718022,0.0004781154],"genre_scores_gemma":[0.9561918,0.00003008376,0.04355385,0.00005412315,0.0001201098,0.00001018126,0.00001135226,0.000006721388,0.00002180043],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9443297,"threshold_uncertainty_score":0.266763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898984094317386,"score_gpt":0.2643128926771731,"score_spread":0.2253230517339992,"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."}}