{"id":"W2392968590","doi":"","title":"Design and Implementation of GSM Network Optimization Expert System","year":2009,"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; GSM; Expert system; Fuzzy logic; Interface (matter); Artificial intelligence; Data mining; Computer network; Operating system","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":[0.0006568256,0.000399318,0.0005824519,0.0006548945,0.0002965002,0.0007364769,0.001008033,0.0005437269,0.009889049],"category_scores_gemma":[0.001227791,0.0002841384,0.000212518,0.0003390229,0.0001718727,0.0004526234,0.000433516,0.0004385547,0.003207762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004056805,"about_ca_system_score_gemma":0.0007522628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002422891,"about_ca_topic_score_gemma":0.001232384,"domain_scores_codex":[0.9994327,0.0001054154,0.00004761089,0.0001354098,0.0002179448,0.00006082619],"domain_scores_gemma":[0.999478,0.00009820511,0.00003027041,0.00004602219,0.0003105199,0.00003703217],"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":[0.00123528,0.0003857868,0.005065334,0.0006239785,0.0001596939,0.0005870844,0.0006622704,0.1733358,0.1112493,0.01985456,0.03259058,0.6542506],"study_design_scores_gemma":[0.0002326432,0.0002219349,0.002904814,0.00005177554,0.00009618488,0.000327684,0.0001189237,0.8929018,0.0510499,0.002944706,0.0490853,0.00006435414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01634615,0.00008272811,0.9619299,0.0001237305,0.0000746713,0.0003881849,0.000255711,0.01182109,0.008977816],"genre_scores_gemma":[0.3748429,0.0001962977,0.6021465,0.0002933269,0.00007516715,0.0009957304,0.001065542,0.00052287,0.01986169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009889049,"threshold_uncertainty_score":0.03308213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060007711414199,"score_gpt":0.2866064145897715,"score_spread":0.2760063374756295,"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."}}