{"id":"W2052591194","doi":"10.1109/icumt.2013.6798432","title":"A novel long term telecommunication network planning framework using a SIPOC approach","year":2013,"lang":"en","type":"article","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Network resource planning; Software deployment; Computer science; Key (lock); Context (archaeology); Process management; Seven Management and Planning Tools; Process (computing); Network planning and design; Order (exchange); Core (optical fiber); Core network; Knowledge management; Telecommunications; Business; Engineering; Operations management; Computer security; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003763463,0.0009236914,0.0004090042,0.001976252,0.002099688,0.006570512,0.00281169,0.001632517,0.007629055],"category_scores_gemma":[0.003263434,0.0005969563,0.001264625,0.002474201,0.002781662,0.005094102,0.003284887,0.002153052,0.0009955931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006543076,"about_ca_system_score_gemma":0.01182489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252052,"about_ca_topic_score_gemma":0.03248806,"domain_scores_codex":[0.997724,0.001180538,0.0001276751,0.0003052519,0.0004337272,0.0002288153],"domain_scores_gemma":[0.998147,0.0006971598,0.0002073274,0.0001700777,0.0005346882,0.0002437823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007297784,0.00002089538,0.0003646105,0.00005629949,0.00001140842,0.000149585,0.0003687117,0.07945228,0.0001831968,0.9038438,0.001529682,0.01401228],"study_design_scores_gemma":[0.00001520317,0.0000573522,0.0003969938,0.0002014113,0.00002840489,0.0001986877,0.001538677,0.2856235,0.0004805033,0.5881192,0.123299,0.00004110042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003180085,0.0001848218,0.940264,0.001589531,0.00007000488,0.0001841249,0.0002290226,0.0001598599,0.05413857],"genre_scores_gemma":[0.2600046,0.0008400506,0.7168214,0.0003581711,0.0001038499,0.0008986376,0.0005631422,0.0001750589,0.02023509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02252052,"threshold_uncertainty_score":0.04747349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678675318281285,"score_gpt":0.2736751991727371,"score_spread":0.2368884459899243,"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."}}