{"id":"W4402171970","doi":"10.29070/3sbta617","title":"Stock Price Prediction Using Artificial Intelligence and Neural Networks","year":2024,"lang":"en","type":"article","venue":"International Journal of Information Technology and Management","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Artificial neural network; Artificial intelligence; Stock (firearms); Artificial Intelligence System; Computer science; Stock price; Machine learning; Engineering; Series (stratigraphy); Biology","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":[0.002212639,0.00007687421,0.0001092229,0.001994473,0.00007088012,0.0003844347,0.0003579176,0.00007716065,0.00002901049],"category_scores_gemma":[0.0006532656,0.00005929823,0.00003682161,0.0005907799,0.0001021949,0.001281271,0.0002401562,0.0002113351,0.000003107795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432269,"about_ca_system_score_gemma":0.00001264815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001011953,"about_ca_topic_score_gemma":4.678293e-7,"domain_scores_codex":[0.9984261,0.00004304148,0.0007827544,0.00009987789,0.0005536418,0.0000945834],"domain_scores_gemma":[0.9989276,0.0002420875,0.0003359235,0.00008648368,0.0003732838,0.00003463938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004262307,0.000006297192,0.0004123869,0.000007314287,0.00006505472,0.00001543132,0.000115515,0.006581505,0.000006649315,0.1179566,0.0002148976,0.8745757],"study_design_scores_gemma":[0.00007469001,0.00008956752,0.001916244,0.00008669677,0.00002441764,0.0006320746,0.0009067308,0.8251436,0.00008782076,0.1624864,0.008487673,0.00006407309],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04944084,0.0002876665,0.9454113,0.001874217,0.001975948,0.00009987981,0.000003014051,0.00003993184,0.0008671609],"genre_scores_gemma":[0.9688857,0.0001936444,0.03064409,0.0001213133,0.0001136087,0.000002871772,0.00000101639,0.000003071106,0.00003474009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9194448,"threshold_uncertainty_score":0.3707112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07297232782300522,"score_gpt":0.3826017305957792,"score_spread":0.309629402772774,"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."}}