{"id":"W3163959491","doi":"10.1016/j.ifacol.2021.04.219","title":"A Tool based on ML-driven Graphical Model for Stock Price Prediction by Leading Indicators","year":2020,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Toolbox; Computer science; Futures contract; Stock (firearms); Convolutional neural network; Stock market; Stock price; Econometrics; Stock exchange; Artificial neural network; Machine learning; Artificial intelligence; Data mining; Finance; Economics; 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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002344199,0.0003457033,0.0005435806,0.0004379672,0.0003233446,0.0001537923,0.0008832312,0.0002637299,0.0001588126],"category_scores_gemma":[0.01517066,0.000279728,0.0003348297,0.001759097,0.0001319574,0.000192019,0.0001073379,0.000464453,0.00004889127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009904453,"about_ca_system_score_gemma":0.0001546932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002999668,"about_ca_topic_score_gemma":0.000003297982,"domain_scores_codex":[0.995405,0.000344827,0.0008417701,0.001154593,0.001714534,0.0005393089],"domain_scores_gemma":[0.9945119,0.003933449,0.0003992637,0.0005518151,0.0002061515,0.0003974035],"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":[0.005454189,0.001225681,0.04982423,0.0001714702,0.0002417466,0.00002668521,0.006534609,0.2920692,0.04787704,0.001182704,0.02453024,0.5708622],"study_design_scores_gemma":[0.001260115,0.0005769033,0.001467059,0.00003462343,0.00003801669,0.000002260201,0.0001252069,0.9922439,0.0003912715,0.0004787834,0.003093569,0.0002882809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2821131,0.00003248902,0.7073872,0.006894579,0.0003173319,0.0009992445,0.0007863272,0.0002933144,0.001176443],"genre_scores_gemma":[0.4290834,0.000002142736,0.5662165,0.00337795,0.0003167639,0.0001205991,0.00006765514,0.00005753534,0.0007574275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7001747,"threshold_uncertainty_score":0.9999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191971867845601,"score_gpt":0.3848084976283664,"score_spread":0.2656113108438063,"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."}}