{"id":"W2048452064","doi":"10.1145/2628194.2628211","title":"A machine learning approach for stock price prediction","year":2014,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Oracle; Computer science; Machine learning; Artificial intelligence; Support vector machine; Decision tree; Inference; Graph; Decision support system; Data mining; Theoretical computer science","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":[0.0005473063,0.000657076,0.0006213644,0.001014613,0.0002919532,0.0007281396,0.0008902891,0.0009706444,0.001686031],"category_scores_gemma":[0.002505524,0.0002707168,0.0005301931,0.001423345,0.0003465326,0.001025157,0.0004643505,0.001473577,0.0005924157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170117,"about_ca_system_score_gemma":0.000662627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002593206,"about_ca_topic_score_gemma":0.002140106,"domain_scores_codex":[0.9996112,0.00009986657,0.00002629284,0.0000893668,0.0001496013,0.00002370897],"domain_scores_gemma":[0.999316,0.0004203541,0.00006610954,0.00005300023,0.0001268686,0.00001768735],"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":[0.00005668225,0.0001352222,0.002188714,0.0001357922,0.0001114264,0.00008492021,0.00003350682,0.544035,0.003305272,0.04086575,0.003049468,0.4059983],"study_design_scores_gemma":[0.000003384916,0.00001630601,0.0001708103,0.0000051437,0.000004450601,0.00001293465,0.000003371896,0.9829113,0.0005067423,0.01555048,0.0008106589,0.000004404291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005110461,0.0005625336,0.9925476,0.000347116,0.00004678948,0.00002748278,0.00008501382,0.0002462741,0.001026701],"genre_scores_gemma":[0.4281807,0.001647746,0.5648125,0.0002988371,0.0003047078,0.0002075657,0.000534602,0.00003895063,0.003974339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002593206,"threshold_uncertainty_score":0.005640328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349466357588076,"score_gpt":0.3893020969692675,"score_spread":0.25435546121046,"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."}}