{"id":"W3142143979","doi":"10.2139/ssrn.3106622","title":"Time Series Models with Asymmetric Innovations","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Series (stratigraphy); Econometrics; Economics; Business; Law and economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005614291,0.001429148,0.002283447,0.001354761,0.0004796606,0.002487249,0.002571076,0.00389186,0.003502508],"category_scores_gemma":[0.02529923,0.001097689,0.00157899,0.001893373,0.00146171,0.004624404,0.002032405,0.00400292,0.0009026405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009460814,"about_ca_system_score_gemma":0.0007433043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522301,"about_ca_topic_score_gemma":0.0008693769,"domain_scores_codex":[0.9977628,0.0009417639,0.0001548729,0.0004473398,0.0004449321,0.00024824],"domain_scores_gemma":[0.984397,0.01151084,0.002034558,0.0009918526,0.0007879911,0.000277729],"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":[0.0001798019,0.00009828484,0.002137968,0.0001223054,0.0001545745,0.0003565942,0.000138357,0.6758506,0.0009291282,0.2985229,0.001448821,0.02006067],"study_design_scores_gemma":[0.00001402673,0.00001806315,0.0002048572,0.000006993469,0.00002550427,0.00003144588,0.000007185355,0.9571489,0.0001383356,0.04212427,0.0002692687,0.00001116735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1213115,0.001172524,0.8690662,0.001980367,0.0004360719,0.00005049435,0.0003781055,0.0002948265,0.0053098],"genre_scores_gemma":[0.9567348,0.001280667,0.02502103,0.0002130339,0.000536451,0.0001186887,0.0004658474,0.00007920014,0.01555016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005614291,"threshold_uncertainty_score":0.02969158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05040165864593213,"score_gpt":0.3336838365203867,"score_spread":0.2832821778744546,"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."}}