{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008000683,0.0005098571,0.000519835,0.001535017,0.000267907,0.001002938,0.0005957829,0.0006422098,0.001077515],"category_scores_gemma":[0.002842115,0.000262678,0.0003708134,0.001329309,0.0002523416,0.001180739,0.0003948915,0.0007811892,0.0002501386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007641641,"about_ca_system_score_gemma":0.0004235719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130148,"about_ca_topic_score_gemma":0.00863176,"domain_scores_codex":[0.9996494,0.00008226655,0.00003332445,0.00006019806,0.0001393451,0.00003545685],"domain_scores_gemma":[0.9992344,0.0004646372,0.0001005352,0.00003801102,0.0001416804,0.00002080553],"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":[0.0001393991,0.0001865391,0.01227005,0.00008690028,0.0001668459,0.0001212116,0.00003725517,0.7712197,0.001648273,0.005912928,0.002126555,0.2060843],"study_design_scores_gemma":[0.000002057468,0.000006150107,0.0005683181,0.000004289215,0.000004088631,0.000004577342,0.000002759121,0.997683,0.0002181581,0.001376896,0.0001267286,0.000002914276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3205929,0.006036402,0.6580659,0.001636594,0.0003372156,0.000114922,0.0005922129,0.001226017,0.01139783],"genre_scores_gemma":[0.922236,0.001716367,0.07161898,0.0001189322,0.0001988732,0.00005663245,0.000465111,0.00001893983,0.003570148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01130148,"threshold_uncertainty_score":0.02247143,"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."}}