{"id":"W4415481482","doi":"10.1109/icivc66358.2025.11200360","title":"Stock Price Prediction and Investment Strategy via Machine Learning Model Fusion","year":2025,"lang":"","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Random forest; Support vector machine; Stock (firearms); Stock price; Unification; Investment strategy; Predictive modelling; Data modeling","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":[0.002738683,0.0006752399,0.0009768519,0.0009559778,0.000307023,0.001137779,0.0007180236,0.0007837284,0.0004814843],"category_scores_gemma":[0.004923893,0.0003500761,0.0007894746,0.0008216368,0.0003093801,0.001972385,0.0006566941,0.000859966,0.000123792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714758,"about_ca_system_score_gemma":0.00066456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003375714,"about_ca_topic_score_gemma":0.002113399,"domain_scores_codex":[0.9991413,0.0002827739,0.0000621055,0.000147244,0.0002778019,0.00008878599],"domain_scores_gemma":[0.9983752,0.0009829131,0.0002603753,0.0001146036,0.0002223968,0.00004438314],"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":[0.00009643023,0.00009864792,0.003008288,0.00002967625,0.0001006892,0.00005745983,0.00005986039,0.9350334,0.002784663,0.003282253,0.0001736054,0.05527503],"study_design_scores_gemma":[0.000001750448,0.00001526961,0.0002742023,0.000001810821,0.00000666634,0.000004355143,0.000003227547,0.9982976,0.0005116079,0.0008467581,0.00003340932,0.000003294421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3004574,0.0004730553,0.6954234,0.0003290876,0.00005649493,0.00005366936,0.00006163165,0.0004052619,0.002740076],"genre_scores_gemma":[0.9540659,0.00008070138,0.04545925,0.00002861386,0.0000144897,0.00001921984,0.00004363493,0.000008193992,0.0002800705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003375714,"threshold_uncertainty_score":0.01448375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08529753493408301,"score_gpt":0.3745832489917547,"score_spread":0.2892857140576717,"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."}}