{"id":"W2794305977","doi":"10.1109/mnet.2018.1700395","title":"Protocol Architectures for IoT Domains","year":2018,"lang":"en","type":"preprint","venue":"IEEE Network","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Scalability; Proxy (statistics); Computer network; Internet of Things; Cache; Energy consumption; Interconnection; Modular design; Distributed computing; Efficient energy use; Embedded system; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005732219,0.0003172507,0.0003415114,0.00007163539,0.0002325862,0.0003012592,0.001732103,0.0002612403,0.000003276688],"category_scores_gemma":[0.00002368519,0.0002769081,0.0003166434,0.0001231839,0.00007012877,0.00001438051,0.000747142,0.0005117793,0.00003351244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005626988,"about_ca_system_score_gemma":0.0002228848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003814735,"about_ca_topic_score_gemma":0.00005607914,"domain_scores_codex":[0.9979576,0.0001360811,0.0003086985,0.00078446,0.0002788126,0.0005343385],"domain_scores_gemma":[0.9981439,0.0001668022,0.0002247146,0.001236889,0.0001156909,0.0001120448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003393183,0.0001450579,0.0001304311,0.000507192,0.000260433,0.00002823792,0.001862813,0.1783864,0.00009382573,0.002880795,0.7840131,0.03135242],"study_design_scores_gemma":[0.00150662,0.000515634,0.0002219772,0.001005694,0.00005273077,0.00003062358,0.000008028525,0.2084516,0.0003003065,0.5634854,0.2230324,0.001388987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.008451991,0.00008214737,0.8348671,0.001009065,0.02203818,0.1286644,0.00002928191,0.0009953801,0.003862463],"genre_scores_gemma":[0.1412562,0.000002083917,0.1127681,0.003526716,0.09373389,0.6455545,0.00002333596,0.0001566552,0.002978505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7220989,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334129681505626,"score_gpt":0.2947185330342564,"score_spread":0.2613772362192001,"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."}}