{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002862842,0.0003375598,0.0002692562,0.0006160089,0.000418994,0.001673791,0.0007665622,0.0005931084,0.002048005],"category_scores_gemma":[0.008267581,0.0002917328,0.000290214,0.001057694,0.0002774695,0.001901659,0.0003653688,0.0006080058,0.0003704609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008023538,"about_ca_system_score_gemma":0.001343667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587962,"about_ca_topic_score_gemma":0.001518774,"domain_scores_codex":[0.9966288,0.001749144,0.0002468525,0.0002857185,0.0007798144,0.0003096019],"domain_scores_gemma":[0.9952124,0.001566559,0.0003082234,0.0004705596,0.00228829,0.0001538586],"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":[0.001452355,0.001687953,0.09030879,0.001787285,0.0002318057,0.001284853,0.002753119,0.1144085,0.1073677,0.03918831,0.00408977,0.6354396],"study_design_scores_gemma":[0.0003566591,0.004432512,0.04818831,0.0005040466,0.0007507891,0.000869584,0.006266447,0.5549552,0.2969005,0.007652022,0.07899594,0.0001280347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8295041,0.0004766432,0.1433439,0.0009584776,0.00009705998,0.0005355672,0.0001883984,0.001339173,0.02355656],"genre_scores_gemma":[0.9335725,0.000435188,0.06272852,0.00007998589,0.0000203291,0.00008788402,0.0001611209,0.00003040743,0.002884072],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002862842,"threshold_uncertainty_score":0.01514035,"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."}}