{"id":"W4401329460","doi":"10.1109/fuzz-ieee60900.2024.10612046","title":"Stock Market Index Prediction: A Framework Based on Transfer Learning and Knowledge Graph Enrichment Through Uncertainty Using Natural Language and Fuzzy Logic","year":2024,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fuzzy logic; Computer science; Artificial intelligence; Index (typography); Natural language; Stock market; Knowledge graph; Natural language processing; Machine learning; Programming language; Geography","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":[0.004258963,0.000300248,0.0003555589,0.0004396328,0.0003364602,0.0005352533,0.0002235471,0.0002099754,0.0008932044],"category_scores_gemma":[0.002521113,0.0002018798,0.0001275401,0.001444327,0.0001968453,0.0002603449,0.000117354,0.0008151571,0.000008015449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000873835,"about_ca_system_score_gemma":0.0001011395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004634945,"about_ca_topic_score_gemma":0.00002229178,"domain_scores_codex":[0.9963497,0.001017008,0.0004822966,0.000922805,0.0008585486,0.0003696667],"domain_scores_gemma":[0.9918787,0.007519858,0.0000468181,0.0003117461,0.0001127723,0.0001300503],"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":[0.001333813,0.0002282123,0.06721812,0.00031595,0.0002245807,0.0001799752,0.02029202,0.01107023,0.0007852769,0.0101585,0.006898051,0.8812953],"study_design_scores_gemma":[0.0005910702,0.0003564181,0.01609741,0.000378324,0.00005850639,0.00006597408,0.003207679,0.9402316,0.00004367011,0.03141865,0.007158505,0.0003921598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4771988,0.006058208,0.4647259,0.0004891992,0.001740602,0.0005897917,0.00002064336,0.0004172203,0.04875967],"genre_scores_gemma":[0.968483,0.00002464021,0.02844781,0.0002846437,0.000174223,0.00001838662,0.000002378205,0.00002571487,0.002539235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9291614,"threshold_uncertainty_score":0.9779962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0693269003755229,"score_gpt":0.4008125750963586,"score_spread":0.3314856747208357,"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."}}