{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002285259,0.000527958,0.0003554457,0.001246623,0.0006359657,0.002347093,0.0009060606,0.0006272126,0.004881675],"category_scores_gemma":[0.002402911,0.0003501669,0.0004216931,0.001586966,0.0003625598,0.002335032,0.0006255702,0.000681005,0.001770519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333159,"about_ca_system_score_gemma":0.003817552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009100189,"about_ca_topic_score_gemma":0.006123149,"domain_scores_codex":[0.9987223,0.0004399514,0.00008667718,0.0001608793,0.0003816907,0.000208467],"domain_scores_gemma":[0.9984693,0.0002141559,0.00005820465,0.0002077984,0.0008435642,0.0002069734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004992529,0.0004414905,0.03281115,0.0008873221,0.00008309534,0.001389393,0.001527321,0.0333317,0.06272957,0.07018616,0.04557559,0.7505379],"study_design_scores_gemma":[0.0001714859,0.0008156569,0.03352849,0.0003599006,0.000199466,0.001267004,0.001972449,0.5249943,0.08504837,0.02076643,0.3307622,0.0001141758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2473201,0.003237945,0.6396981,0.006999386,0.0002967614,0.001982849,0.001046147,0.007597052,0.09182164],"genre_scores_gemma":[0.5825132,0.002513726,0.3864026,0.0006454205,0.0000946295,0.0006942145,0.003379497,0.0004189722,0.0233378],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009100189,"threshold_uncertainty_score":0.01809448,"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."}}