{"id":"W1979516188","doi":"10.5539/cis.v5n1p32","title":"Research and Planning of Application Blueprint for Shanghai Airport Business Intelligence System","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blueprint; Computer science; Business intelligence; Gateway (web page); Architecture; Key (lock); Construct (python library); China; Engineering management; Process management; Knowledge management; Business; Computer security; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.001368522,0.00005980675,0.0000854666,0.0003006148,0.0003085521,0.0002083211,0.0006922972,0.00002349043,2.88433e-7],"category_scores_gemma":[0.00002570706,0.00005265251,0.00000783594,0.001037956,0.0003220715,0.003728324,0.0004954717,0.00005153913,0.00000488322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001869385,"about_ca_system_score_gemma":0.00007826491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003122348,"about_ca_topic_score_gemma":2.199595e-7,"domain_scores_codex":[0.9990807,0.000007278887,0.000271524,0.0002142506,0.0002582569,0.0001680097],"domain_scores_gemma":[0.9985483,0.00006150335,0.0001160291,0.000342589,0.0008544436,0.00007709333],"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":[0.000002894468,0.00001625513,0.0003120789,0.0001019507,0.000001683574,9.372984e-8,0.004459517,0.0000715209,0.00009054237,0.5424476,0.00005255636,0.4524434],"study_design_scores_gemma":[0.00007240481,0.00006850059,0.02750142,0.00006304581,0.000001162126,0.00001769059,0.0005586325,0.9663236,0.002604206,0.001632196,0.001070828,0.00008630084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01672664,0.00001661626,0.9816795,0.00004488097,0.0000926271,0.0002629388,0.00000509287,0.00004621434,0.001125485],"genre_scores_gemma":[0.7059064,0.000009423311,0.2939737,0.00003098721,0.00002030712,0.0000522076,0.000003605051,0.000001243673,0.000002122658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9662521,"threshold_uncertainty_score":0.2702945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09823323312531215,"score_gpt":0.3365408395767402,"score_spread":0.2383076064514281,"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."}}