{"id":"W2360531317","doi":"","title":"Investigation of Implementing DSS in Water Supply Dispatching System","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Online analytical processing; Computer science; Data warehouse; Sql server; Decision support system; Database; SQL; Plan (archaeology); Data Transformation Services; Water supply; Data mining; World Wide Web; Query by Example","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":[0.0001713791,0.0001366825,0.0001750614,0.0001965123,0.0002423681,0.00003069232,0.0006987057,0.00004372307,0.000001963821],"category_scores_gemma":[2.438059e-7,0.0001254814,0.00006080544,0.0005019671,0.00005448305,0.0003185623,0.0003433078,0.0001137463,0.00002265691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008217065,"about_ca_system_score_gemma":0.00004089734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004975441,"about_ca_topic_score_gemma":0.000005740122,"domain_scores_codex":[0.9986085,0.00003365472,0.0005107173,0.0003998255,0.0001634229,0.0002838438],"domain_scores_gemma":[0.9992316,0.0000597185,0.0001343554,0.0004010254,0.0001130382,0.00006031259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003685697,0.0001565434,0.01983893,0.0002089362,0.00003146473,0.000009509803,0.00487749,0.003264812,0.1903356,0.6719844,0.0007754169,0.1085132],"study_design_scores_gemma":[0.001438242,0.00008569972,0.04969865,0.0002468078,0.00001861524,0.0004534138,0.0001724731,0.1767441,0.5592132,0.07290991,0.1377866,0.001232171],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07798789,0.00002631171,0.9203479,0.0004877186,0.000006751084,0.000612555,0.000005365307,0.0002366631,0.0002887931],"genre_scores_gemma":[0.5355274,0.000004642301,0.4638824,0.00008153523,0.00003164752,0.0004165437,0.00003314615,0.000007682096,0.00001504286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5990744,"threshold_uncertainty_score":0.5116981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600748200886862,"score_gpt":0.245777074857538,"score_spread":0.2297695928486694,"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."}}