{"id":"W2107322569","doi":"10.1111/jtsa.12165","title":"Filtering, Prediction and Simulation Methods for Noncausal Processes","year":2015,"lang":"en","type":"article","venue":"Journal of Time Series Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Mathematics; Univariate; Autoregressive model; Multivariate statistics; Estimator; Applied mathematics; Mathematical optimization; Algorithm; 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":[0.00110072,0.00008281945,0.0003807947,0.0001401773,0.00004775362,0.00003372515,0.00005201347,0.00004222157,0.00002545772],"category_scores_gemma":[0.004647727,0.00006292871,0.00009735666,0.0002607344,0.00003100422,0.0003348271,0.00001954712,0.00005935452,2.614011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002580882,"about_ca_system_score_gemma":0.00003979764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001095827,"about_ca_topic_score_gemma":0.00000192597,"domain_scores_codex":[0.9991787,0.00009577063,0.0004054786,0.00009081545,0.0001350456,0.00009420236],"domain_scores_gemma":[0.9977551,0.00101547,0.0003733835,0.00007999048,0.0006676427,0.0001084689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0031648,0.0004759208,0.001263007,0.001424982,0.008935434,0.00002125888,0.005737206,0.6514105,0.006476629,0.01197938,0.002719548,0.3063913],"study_design_scores_gemma":[0.0005639119,0.000744873,0.00008132328,0.00003451348,0.003411587,0.00002205677,0.000258375,0.5248724,0.001075631,0.4625179,0.006280942,0.0001365521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003008189,0.000145146,0.9965233,0.00008959726,0.00004229159,0.0000713076,0.00002562613,0.00001004577,0.00008449006],"genre_scores_gemma":[0.009482661,0.00003063119,0.9898477,0.00001123521,0.0001142365,0.000003311592,0.000003174928,0.00001037481,0.0004966944],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4505385,"threshold_uncertainty_score":0.5564098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390877089413422,"score_gpt":0.4931781557019373,"score_spread":0.3540904467605951,"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."}}