{"id":"W4309345954","doi":"10.1109/cns56114.2022.9947257","title":"Real World Snapshot of Trends in IoT Device and Protocol Deployment: IEEE CNS 22 Poster","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"MQTT; Snapshot (computer storage); Computer science; Software deployment; Internet of Things; Computer network; Protocol (science); Outlier; The Internet; Profiling (computer programming); Computer security; World Wide Web; Artificial intelligence; Database","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":[0.0006226971,0.000439196,0.0003505079,0.001480179,0.0003444673,0.0009512837,0.0005094312,0.0006460844,0.001548954],"category_scores_gemma":[0.001616236,0.0001491533,0.0002121275,0.002718801,0.0002170596,0.001042356,0.0005290658,0.0007189603,0.001641916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005959095,"about_ca_system_score_gemma":0.0003756731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301883,"about_ca_topic_score_gemma":0.02619713,"domain_scores_codex":[0.9994071,0.00004466841,0.0000428782,0.0001648884,0.0002420557,0.00009846521],"domain_scores_gemma":[0.998037,0.0002235862,0.0002350388,0.0001824295,0.001073606,0.000248231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007829214,0.0005660023,0.5248315,0.0004859434,0.0002722765,0.001025082,0.0006921702,0.03006146,0.01410885,0.003042446,0.2918527,0.1322787],"study_design_scores_gemma":[0.00003252969,0.0003215223,0.8420794,0.00010716,0.00009715455,0.001345958,0.001475681,0.07153658,0.00732165,0.001288794,0.07428443,0.0001091021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8445095,0.001193877,0.007484337,0.001460856,0.0005374664,0.0001068719,0.1186504,0.00333161,0.02272496],"genre_scores_gemma":[0.8538239,0.0005901596,0.004649598,0.0002453715,0.0001574057,0.00007801738,0.1367513,0.0001169798,0.00358729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301883,"threshold_uncertainty_score":0.02588606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508399596784929,"score_gpt":0.304848321010267,"score_spread":0.2697643250424178,"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."}}