{"id":"W3109509431","doi":"10.18280/ria.340507","title":"An Improved Long Short-Term Memory Neural Network for Macroeconomic Forecast","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kalman filter; Term (time); Artificial neural network; State-space representation; Index (typography); Computer science; Series (stratigraphy); Econometrics; State space; Filter (signal processing); Economics; Artificial intelligence; Algorithm; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004087831,0.000512644,0.00044249,0.0004751193,0.0002672987,0.0005174468,0.0007001574,0.0006609616,0.001879928],"category_scores_gemma":[0.0009082759,0.00023569,0.0004376176,0.0007058498,0.0001599063,0.001087721,0.0004707001,0.0007989164,0.0004208295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005271377,"about_ca_system_score_gemma":0.000755694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009798711,"about_ca_topic_score_gemma":0.01049446,"domain_scores_codex":[0.9998459,0.00002345619,0.00001463868,0.00004641775,0.00004586454,0.00002365019],"domain_scores_gemma":[0.9998792,0.00003518002,0.00001239925,0.000009000431,0.00005738527,0.000006844052],"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":[0.0002022969,0.0001035293,0.002373588,0.0001382703,0.0001155703,0.0001369362,0.00006531026,0.5484885,0.01246532,0.005973959,0.00430259,0.4256341],"study_design_scores_gemma":[0.000004401431,0.00001277706,0.0002211963,0.000003882057,0.000009873232,0.000008658923,0.000002142833,0.9979472,0.0007280947,0.0007146116,0.000343425,0.000003854967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05948374,0.00182562,0.9308981,0.0004441993,0.0002800186,0.00006004199,0.0003965214,0.001525118,0.005086693],"genre_scores_gemma":[0.8278615,0.001339577,0.1621441,0.0002330799,0.0001699922,0.0001700757,0.0008879483,0.00005654889,0.007137057],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009798711,"threshold_uncertainty_score":0.01948333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1842691137914615,"score_gpt":0.3944360364794205,"score_spread":0.210166922687959,"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."}}