{"id":"W2785361030","doi":"10.1109/jiot.2018.2800691","title":"Architecture for IoT Domain With CoAP Observe Feature","year":2018,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Proxy (statistics); Computer network; Cache; Internet of Things; Energy consumption; Network congestion; Real-time computing; Distributed computing; Network packet; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0006118616,0.0001817782,0.0002479536,0.0001385652,0.0001513562,0.0002893999,0.001360655,0.00009463747,0.000004018885],"category_scores_gemma":[0.00004199195,0.0001274268,0.000148895,0.0001692164,0.0001164668,0.0002747748,0.0001368032,0.0005144651,0.00000747204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004724532,"about_ca_system_score_gemma":0.0001060785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001780332,"about_ca_topic_score_gemma":0.000005039981,"domain_scores_codex":[0.9987023,0.00005059927,0.0002767463,0.0002547546,0.0003329894,0.0003825664],"domain_scores_gemma":[0.9987737,0.0001159031,0.0003682231,0.0002677888,0.0003445773,0.0001298129],"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":[0.001137235,0.0003046562,0.002983236,0.0002612223,0.0007416737,0.0002756922,0.08184,0.0002678806,0.03220807,0.005613584,0.6728775,0.2014893],"study_design_scores_gemma":[0.007231982,0.01069946,0.002436423,0.003797407,0.0001280095,0.01323052,0.0003072588,0.10371,0.2636723,0.132778,0.4599596,0.002049104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2302441,0.00008064992,0.7594035,0.002173943,0.00733078,0.0001019325,2.17788e-7,0.00004797873,0.0006169198],"genre_scores_gemma":[0.3733847,0.000001804591,0.6179935,0.001270939,0.006263818,0.00000271028,6.209422e-7,0.00002786667,0.001054131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2314642,"threshold_uncertainty_score":0.5196314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151121512169516,"score_gpt":0.2463642905499527,"score_spread":0.2312521393330011,"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."}}