{"id":"W2374283405","doi":"","title":"Technology of Data Warehouse Applied in Data Analysis for China National Automatic Payment System","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Computer science; Settlement (finance); Data warehouse; China; Payment system; Capital (architecture); Decision support system; Database; Data mining; Operations research; Data science; World Wide Web","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":[0.00340391,0.0006036527,0.0007119166,0.003414075,0.001194965,0.003717724,0.001308619,0.0006856727,0.001765755],"category_scores_gemma":[0.004546573,0.0006320329,0.001038067,0.005753077,0.0005993627,0.004010051,0.00153282,0.001237373,0.0007726843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174859,"about_ca_system_score_gemma":0.003519872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00552428,"about_ca_topic_score_gemma":0.002905878,"domain_scores_codex":[0.9971523,0.0006654243,0.0004767343,0.000511582,0.001035686,0.000158199],"domain_scores_gemma":[0.9980695,0.000404821,0.0001304764,0.0004837977,0.0008386783,0.00007275408],"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":[0.0003998782,0.0002517977,0.02542358,0.001065961,0.000374248,0.0009902226,0.001892624,0.03880268,0.02289872,0.1434294,0.03357224,0.7308986],"study_design_scores_gemma":[0.0001877826,0.0002259119,0.0164975,0.0003813171,0.0004296346,0.001389209,0.001361232,0.643055,0.05526968,0.09907116,0.1818699,0.0002616427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03517197,0.001261036,0.9504703,0.001581013,0.0002103295,0.0004044434,0.001375875,0.003210446,0.00631469],"genre_scores_gemma":[0.332774,0.002631352,0.6544142,0.0004206322,0.0001590635,0.0009415797,0.004062075,0.0001971085,0.004399973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00552428,"threshold_uncertainty_score":0.01800185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04020680671217939,"score_gpt":0.3149173591233043,"score_spread":0.2747105524111249,"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."}}