{"id":"W4285677531","doi":"10.1155/2022/4514300","title":"Financial Stock Investment Management Using Deep Learning Algorithm in the Internet of Things","year":2022,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Database transaction; Stock market; Algorithm; Stock (firearms); Machine learning; Finance; Economics; Database","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":[0.004652622,0.0001015478,0.0001458838,0.0003483192,0.0003546375,0.0001170865,0.001015054,0.00001415267,0.00004194093],"category_scores_gemma":[0.001516849,0.00007708112,0.00004487186,0.001619921,0.0002798694,0.0002297382,0.0006958063,0.000276449,0.00000159769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004079086,"about_ca_system_score_gemma":0.00004218512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003005633,"about_ca_topic_score_gemma":0.00000110396,"domain_scores_codex":[0.9966168,0.0007694528,0.000502267,0.000465793,0.001453344,0.0001923712],"domain_scores_gemma":[0.9976967,0.001774079,0.0002518367,0.0001623573,0.00008250931,0.00003249269],"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":[0.00001530661,0.0000664558,0.002711475,0.000003915117,9.401729e-7,0.00002581398,0.003490415,0.6159156,0.00004728,0.01178929,0.00005753255,0.365876],"study_design_scores_gemma":[0.00004289449,0.0001560557,0.01795385,0.0000084075,0.000002787287,0.00006716573,0.001060524,0.8903474,0.00008197273,0.08931586,0.0008874636,0.00007558113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512025,0.00008056798,0.8474512,0.0001052973,0.0003564809,0.0002047003,0.00000171561,0.000008520697,0.0005890189],"genre_scores_gemma":[0.9433658,0.000005655208,0.05479632,0.001663844,0.00001087235,0.00001960129,8.307672e-7,0.000004308556,0.0001328335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7926549,"threshold_uncertainty_score":0.3143277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1810908987363657,"score_gpt":0.4036799313777263,"score_spread":0.2225890326413606,"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."}}