{"id":"W7125269070","doi":"10.18280/mmep.121230","title":"Developing Ensemble Model for Saudi Stock Market Based on Optimal Parameters Setting","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ensemble forecasting; Stock market; Stock (firearms); Ensemble learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01002877,0.0008390712,0.001227771,0.0008622267,0.0005709113,0.0008000067,0.0007547188,0.0004564328,0.00002359629],"category_scores_gemma":[0.006757211,0.0007658614,0.000374211,0.0009451376,0.0001285538,0.0002169971,0.0002743432,0.000682765,0.000008229943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345143,"about_ca_system_score_gemma":0.0003297047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003079425,"about_ca_topic_score_gemma":2.957143e-7,"domain_scores_codex":[0.9940889,0.0002015581,0.001917194,0.001475559,0.0009910389,0.001325687],"domain_scores_gemma":[0.9821448,0.01600389,0.0003257039,0.0008813601,0.0003220154,0.0003221776],"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":[0.0001537194,0.00008333368,0.000007657029,0.002670004,0.00007987478,0.000002103864,0.0005745888,0.9521932,0.0000595486,0.01251774,0.0003110956,0.03134714],"study_design_scores_gemma":[0.0007953508,0.0001296951,0.000002157184,0.004112089,0.0001326635,0.000006765501,0.00005265782,0.8771456,0.0002392403,0.1164977,0.0001919378,0.0006941678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008978081,0.0002748103,0.9857922,0.0009766532,0.0004822875,0.001551226,0.00002463162,0.0002344126,0.001685709],"genre_scores_gemma":[0.2225925,0.00002160299,0.7748772,0.0001704967,0.0000352996,0.0002970989,0.000002607676,0.00008939549,0.001913784],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2136144,"threshold_uncertainty_score":0.9994792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1137123227317309,"score_gpt":0.3379934930466687,"score_spread":0.2242811703149378,"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."}}