{"id":"W4409236700","doi":"10.54254/2754-1169/2025.21818","title":"A Stock Price Prediction Model Based on MLP","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stock price; Econometrics; Computer science; Economics; Geology; Series (stratigraphy)","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":[0.003866435,0.0001403242,0.0002171591,0.0006621011,0.0002308916,0.0002431039,0.0006235093,0.00004494522,0.0000271411],"category_scores_gemma":[0.001007426,0.0001115314,0.00004632811,0.0007240952,0.0004781051,0.0005869442,0.0002094625,0.0001016376,0.00000879915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089886,"about_ca_system_score_gemma":0.00004830761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005804977,"about_ca_topic_score_gemma":0.00002376737,"domain_scores_codex":[0.997872,0.0001358166,0.0005036799,0.0006989793,0.0003043361,0.0004851718],"domain_scores_gemma":[0.9972302,0.002239653,0.00009741486,0.000297046,0.0000291395,0.000106547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002914137,0.00003362769,0.02545238,0.000008502524,0.000002333584,6.285424e-7,0.00001254288,0.06690319,2.942469e-7,0.7262483,0.0001183874,0.1811907],"study_design_scores_gemma":[0.0001829065,0.00004996661,0.01093262,0.00002235429,0.000003772998,2.059382e-7,0.0001144156,0.5545769,0.000006759213,0.4263443,0.007696945,0.00006880665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08321404,0.0001435939,0.1165768,0.00213898,0.0005969832,0.000326095,0.00001130098,0.00003584029,0.7969564],"genre_scores_gemma":[0.9647699,0.0001224628,0.03082283,0.001749343,0.00003058339,0.0000404156,6.693124e-7,0.000004016777,0.002459798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8815559,"threshold_uncertainty_score":0.4548118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779322051037409,"score_gpt":0.3954434268151329,"score_spread":0.3376502063047588,"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."}}