{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00123292,0.0001649769,0.0003273997,0.000846848,0.0001449379,0.00008049829,0.005885798,0.00009154487,0.000001712171],"category_scores_gemma":[0.000003055444,0.0001684432,0.00004426343,0.003173046,0.00006737527,0.000362839,0.002197956,0.0001113676,0.00001668495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023245,"about_ca_system_score_gemma":0.0001192466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003884611,"about_ca_topic_score_gemma":0.00008460101,"domain_scores_codex":[0.9976795,0.00001259024,0.0007186658,0.0010287,0.0002559522,0.0003046207],"domain_scores_gemma":[0.9959832,0.0001856007,0.0002828367,0.003361865,0.0001218292,0.00006469844],"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":[0.000002508622,0.0005411494,0.0005179778,0.0001299294,0.0002955819,8.014546e-7,0.0002131346,0.0007467801,0.001211314,0.1968937,0.002540246,0.7969069],"study_design_scores_gemma":[0.0005192593,0.00001363329,0.006507015,0.00002366376,0.0001065176,0.00001187284,0.0000749392,0.8991507,0.0007138848,0.0017211,0.090887,0.0002704306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004761134,0.00006736819,0.9960797,0.0006304785,0.0000116519,0.00117599,0.001111604,0.0002843389,0.0001627889],"genre_scores_gemma":[0.1276,0.000003474407,0.8694968,0.00004966317,0.00005713349,0.0004884484,0.002279476,0.00001211597,0.00001281944],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8984039,"threshold_uncertainty_score":0.9994928,"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."}}