{"id":"W2352658222","doi":"","title":"Application of Grid Technology in Decision Support System","year":2006,"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":"Computer science; Grid; Grid computing; The Internet; Decision support system; Architecture; Semantic grid; Service (business); World Wide Web; Web service; Grid system; Point (geometry); Distributed computing; Data mining; Semantic 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":[0.0009063822,0.0003019601,0.0003142198,0.0007929852,0.0005695337,0.001917391,0.0006153531,0.000835794,0.002567668],"category_scores_gemma":[0.001786667,0.0001853722,0.0002861458,0.001892288,0.0008373177,0.0022855,0.001160546,0.000873783,0.0009135089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007795087,"about_ca_system_score_gemma":0.0008563424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724178,"about_ca_topic_score_gemma":0.0009067976,"domain_scores_codex":[0.9989763,0.0004276371,0.00006785904,0.0001204017,0.0003384776,0.00006925079],"domain_scores_gemma":[0.9994457,0.0002884681,0.00003039161,0.00008491087,0.0001172585,0.00003326128],"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":[0.0001278507,0.0001056192,0.004225684,0.0006770864,0.00009365058,0.001055548,0.0006528154,0.05725103,0.006164283,0.4387323,0.01819203,0.4727222],"study_design_scores_gemma":[0.00007273469,0.0002097909,0.001815222,0.0003067152,0.00007216612,0.0008804462,0.0006086227,0.227955,0.01006384,0.4790071,0.2789505,0.00005773735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03732835,0.01846826,0.8366813,0.009602646,0.001099836,0.0001991771,0.0002493813,0.001449106,0.09492199],"genre_scores_gemma":[0.7833312,0.01752616,0.1878302,0.0008935425,0.0006141861,0.000146387,0.0002279979,0.00007638786,0.009354031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002567668,"threshold_uncertainty_score":0.008589745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003514393672322019,"score_gpt":0.2435367775282671,"score_spread":0.240022383855945,"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."}}