{"id":"W4409603777","doi":"10.61091/jcmcc127b-234","title":"Research on the Construction of Enterprise Data Asset Pricing Model Based on Machine Learning in Digital Economy Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital economy; Asset (computer security); Computer science; Business; Knowledge management; Industrial organization; Engineering management; Engineering; World Wide Web; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001265021,0.0006367229,0.0009050721,0.00117985,0.0004060461,0.001731843,0.001363055,0.0007380058,0.001035476],"category_scores_gemma":[0.003090629,0.0003321939,0.001027559,0.001713274,0.0004778001,0.003171823,0.0007728765,0.0012223,0.0001919462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096058,"about_ca_system_score_gemma":0.00146626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009858961,"about_ca_topic_score_gemma":0.004526863,"domain_scores_codex":[0.9991587,0.0002049927,0.00004848648,0.0001813253,0.0002901281,0.0001163245],"domain_scores_gemma":[0.9992397,0.0003594221,0.00009630492,0.00005826122,0.0002048004,0.00004161543],"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":[0.0000381561,0.0001155487,0.008369213,0.0001002014,0.0001123863,0.0001925273,0.0001007992,0.8653937,0.001292594,0.03761639,0.001109119,0.08555939],"study_design_scores_gemma":[0.000001340917,0.000007650887,0.0004251669,0.000004006116,0.000008369018,0.00001827712,0.00001079671,0.994858,0.0002013219,0.004244322,0.0002159796,0.00000459328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09482145,0.00084539,0.8989837,0.0006052947,0.0000738007,0.00005778392,0.00007533024,0.0002924971,0.004244805],"genre_scores_gemma":[0.9197524,0.001147025,0.07627261,0.00008534025,0.00007209695,0.00007522221,0.0002119435,0.00003862389,0.002344769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009858961,"threshold_uncertainty_score":0.01960313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09635311344260804,"score_gpt":0.3666047055836632,"score_spread":0.2702515921410552,"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."}}