{"id":"W4408499445","doi":"10.61091/jcmcc124-18","title":"Research on the construction of financial market volatility prediction model in digital economy environment based on machine learning algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Computer science; Real economy; Finance; Artificial intelligence; Business; Industrial engineering; Economics; Engineering; Monetary economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002797245,0.000184476,0.000426083,0.0004407134,0.0002711822,0.0001486514,0.0007299301,0.0001971142,0.000002259537],"category_scores_gemma":[0.001189083,0.0001480653,0.00009675588,0.0004727822,0.0001982006,0.0002363858,0.000417432,0.001346013,3.435292e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378397,"about_ca_system_score_gemma":0.0002089202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002746951,"about_ca_topic_score_gemma":9.691762e-8,"domain_scores_codex":[0.9978974,0.000154452,0.0008813771,0.0002543813,0.0005527139,0.000259679],"domain_scores_gemma":[0.9966283,0.002093708,0.0005846988,0.0003973338,0.000250254,0.00004574145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008895848,0.0004372836,0.000425569,0.00005182775,0.00001632237,0.000004613525,0.0001410118,0.0105326,0.00001027455,0.9709579,0.00007681849,0.01725678],"study_design_scores_gemma":[0.0008851119,0.0004586304,0.00005394552,0.000163619,0.000004000002,0.000002819729,0.00004651419,0.528007,0.0002117097,0.470008,0.0001041317,0.00005443077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1123633,0.00005553932,0.8786023,0.0005993614,0.003536222,0.0004196676,0.000005159299,0.00004677766,0.004371702],"genre_scores_gemma":[0.976016,0.0000153922,0.0238296,0.00002010166,0.00009971949,0.000004085509,5.432278e-7,0.000008364087,0.000006179421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8636527,"threshold_uncertainty_score":0.603793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441462279539471,"score_gpt":0.2584296914248764,"score_spread":0.2440150686294817,"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."}}