{"id":"W2783853749","doi":"10.1109/access.2017.2783120","title":"IEEE Access Special Section Editorial: Future Networks: Architectures, Protocols, and Applications","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cloud computing; Information-centric networking; Computer network; Architecture; Special section; Wireless network; Focus (optics); Data access; Host (biology); Wireless; Telecommunications; World Wide Web; The Internet; 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002428206,0.0001866171,0.0001870944,0.00008848819,0.001048753,0.003969312,0.003077642,0.0001589135,0.000004459705],"category_scores_gemma":[0.0000178819,0.0001678983,0.00006737276,0.0001392524,0.0000768988,0.001385299,0.0004562225,0.0003207207,0.000006132492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003649198,"about_ca_system_score_gemma":0.00006439938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000320714,"about_ca_topic_score_gemma":0.0003298689,"domain_scores_codex":[0.9985904,0.00005705651,0.0002028868,0.0005376632,0.000327456,0.0002846064],"domain_scores_gemma":[0.9983156,0.0000503603,0.0002488086,0.001137995,0.0001233067,0.0001239685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001665072,0.0002420767,0.009882367,0.0001226901,0.00009639937,0.0000259738,0.0003049171,0.005805445,0.000861673,0.002806406,0.5983458,0.3813397],"study_design_scores_gemma":[0.001680084,0.0001265509,0.03057117,0.000133213,0.00003733685,0.00005331742,0.00001283199,0.02025505,0.001309479,0.006713941,0.9381922,0.0009148066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.0218319,0.0001255207,0.7399675,0.001839254,0.2198446,0.01200004,0.00001782566,0.0006082173,0.003765065],"genre_scores_gemma":[0.3228901,0.00004162345,0.0001797418,0.0002999943,0.6708593,0.005509792,0.000003904577,0.00002353578,0.0001920815],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.7397878,"threshold_uncertainty_score":0.9970647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012689273526591,"score_gpt":0.325215222772078,"score_spread":0.2950883300368121,"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."}}