{"id":"W3159894402","doi":"10.1155/2021/6656150","title":"A New ANN-Particle Swarm Optimization with Center of Gravity (ANN-PSOCoG) Prediction Model for the Stock Market under the Effect of COVID-19","year":2021,"lang":"en","type":"article","venue":"Scientific Programming","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Artificial neural network; Hyperparameter; Stock market prediction; Particle swarm optimization; Stock market; Closing (real estate); Artificial intelligence; Machine learning; Econometrics; Economics; Finance","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":[0.0004882605,0.0009386077,0.001009161,0.0005825979,0.0005526785,0.001093018,0.001039284,0.001320971,0.001352127],"category_scores_gemma":[0.0009466124,0.0004139932,0.0009004231,0.0006529317,0.0003774322,0.0007226948,0.0005470437,0.001009465,0.0002076026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242519,"about_ca_system_score_gemma":0.001014234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02827419,"about_ca_topic_score_gemma":0.01654627,"domain_scores_codex":[0.9997557,0.00004103274,0.00001948887,0.00008127117,0.00006759718,0.00003486534],"domain_scores_gemma":[0.9997348,0.00009897189,0.00003717358,0.00001058089,0.0001048798,0.00001353136],"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":[0.00003815883,0.00003871054,0.001915516,0.00005650158,0.00006151658,0.000101388,0.00002408572,0.9768132,0.0008355121,0.0009580047,0.0009780957,0.01817929],"study_design_scores_gemma":[0.000002664044,0.000008972466,0.0002328476,0.000002721252,0.000005052826,0.000005762292,0.000001671032,0.9993684,0.00009184099,0.0001322223,0.0001449279,0.000002862417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1402095,0.002264279,0.8403209,0.000868579,0.0004756566,0.0001813561,0.000456565,0.001051765,0.01417141],"genre_scores_gemma":[0.9408338,0.0007962034,0.04941548,0.0001935987,0.0000902415,0.0002197419,0.0005411966,0.00004632224,0.007863426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02827419,"threshold_uncertainty_score":0.05621922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09408800945623005,"score_gpt":0.3927091286015792,"score_spread":0.2986211191453492,"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."}}