{"id":"W4413679998","doi":"10.1109/compsac65507.2025.00264","title":"Hybrid LSTM/GRU and Support Vector Regression Models for Stock Index Prediction","year":2025,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Computer science; Artificial intelligence; Support vector machine; Regression; Index (typography); Regression analysis; Machine learning; Econometrics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001160996,0.0007303552,0.0007692797,0.0007373917,0.0001766247,0.000770426,0.001035922,0.0007900587,0.001374357],"category_scores_gemma":[0.00194838,0.0003661895,0.0005789613,0.0009687689,0.0002531832,0.001320219,0.0005462481,0.0008778119,0.0004458349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004352097,"about_ca_system_score_gemma":0.0005072666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00709662,"about_ca_topic_score_gemma":0.008010618,"domain_scores_codex":[0.9996598,0.0001177783,0.0000238792,0.00007300028,0.00008463789,0.00004099004],"domain_scores_gemma":[0.9994982,0.0002552519,0.00007419391,0.00003898006,0.0001090949,0.00002414982],"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":[0.0001895856,0.0001155821,0.002563418,0.0001036544,0.0002178285,0.0001122543,0.00005244013,0.8111174,0.004255218,0.006242755,0.00177851,0.1732514],"study_design_scores_gemma":[0.000001718144,0.00001155978,0.0001209714,0.00000226885,0.000005426943,0.000004836716,0.000002345698,0.9986558,0.0002421002,0.0008419996,0.0001081529,0.000002797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1659786,0.002688447,0.8244146,0.0006236323,0.0001440324,0.00004251013,0.0003412957,0.002239998,0.003526954],"genre_scores_gemma":[0.9163738,0.0004733944,0.07948324,0.0001182092,0.00007976709,0.0000515413,0.0002894081,0.00005946981,0.003071154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00709662,"threshold_uncertainty_score":0.01411062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136664192466115,"score_gpt":0.4160075313185488,"score_spread":0.3023411120719373,"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."}}