{"id":"W4294168966","doi":"10.3390/s22176623","title":"Comprehensive Analysis of Network Slicing for the Developing Commercial Needs and Networking Challenges","year":2022,"lang":"en","type":"review","venue":"Sensors","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Qassim University","keywords":"Orchestration; Slicing; Computer science; Scalability; Automation; Construct (python library); Core network; Service (business); Software engineering; Service provider; Telecommunications; Computer network; Engineering; World Wide Web; Operating system","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":[0.002293501,0.0007836344,0.0006567724,0.00290913,0.0004176186,0.001809716,0.0008537543,0.0009955064,0.003211707],"category_scores_gemma":[0.003473152,0.0003635513,0.0004250807,0.003141453,0.0004588016,0.003142548,0.000722877,0.001271263,0.001395409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134128,"about_ca_system_score_gemma":0.003213953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046577,"about_ca_topic_score_gemma":0.003529776,"domain_scores_codex":[0.9993155,0.0001282155,0.00005844774,0.00008868349,0.0003574807,0.00005159924],"domain_scores_gemma":[0.9979797,0.001161113,0.0001854675,0.00007004327,0.0005369392,0.00006681816],"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":[0.00002380199,0.00003909664,0.0003052803,0.009939083,0.00004643071,0.0001191456,0.0001361049,0.001532188,0.001277016,0.04741075,0.01775296,0.9214181],"study_design_scores_gemma":[0.000004911357,0.00008588819,0.0007223708,0.00649614,0.0000777266,0.0004678912,0.0001990579,0.00101019,0.001550173,0.01126451,0.978096,0.00002516965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008082711,0.9831193,0.003902692,0.00167815,0.0003481247,0.00003510571,0.00005914805,0.00003074736,0.01001845],"genre_scores_gemma":[0.006336001,0.987464,0.003672808,0.0005515167,0.0002698161,0.00004318899,0.0001068801,0.00001465471,0.001541128],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003211707,"threshold_uncertainty_score":0.01212931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.170359289104957,"score_gpt":0.3348325553624418,"score_spread":0.1644732662574848,"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."}}