{"id":"W2603425044","doi":"10.1109/mie.2016.2618724","title":"Massive Internet of Things for Industrial Applications: Addressing Wireless IIoT Connectivity Challenges and Ecosystem Fragmentation","year":2017,"lang":"en","type":"article","venue":"IEEE Industrial Electronics Magazine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":338,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Industrial Internet; Computer science; The Internet; Automation; Fragmentation (computing); Key (lock); Wireless; Internet of Things; Computer security; Telecommunications; Engineering; World Wide Web","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":[0.0004168347,0.0002061121,0.0003710531,0.00009361593,0.0001960403,0.0001070138,0.0003257958,0.0003902145,0.000005762652],"category_scores_gemma":[0.0001596,0.0002114199,0.00006385904,0.00005487049,0.00009762882,0.0004320068,0.00004486676,0.0004852549,0.000003184485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560257,"about_ca_system_score_gemma":0.0001084137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789881,"about_ca_topic_score_gemma":0.0001334755,"domain_scores_codex":[0.9987676,0.0000473625,0.0003683254,0.000296137,0.000179986,0.0003405652],"domain_scores_gemma":[0.9989152,0.0002785293,0.000305573,0.0003305204,0.00009187892,0.0000782796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000935937,0.000285718,0.0004776221,0.001004066,0.000666314,0.000007528369,0.003153269,0.004974848,0.07005271,0.02170024,0.004769004,0.8919727],"study_design_scores_gemma":[0.02377299,0.002162356,0.0008017137,0.002179154,0.0005429119,0.0000632995,0.0009933814,0.2963704,0.5542571,0.007630011,0.1089139,0.002312755],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830689,0.002838446,0.009233174,0.0004105483,0.001516401,0.001666619,0.00006165606,0.0001383742,0.001065834],"genre_scores_gemma":[0.9977699,0.0009144574,0.00008489187,0.000007990668,0.0009417987,0.0001938257,0.00001630638,0.00003083024,0.00003998085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.88966,"threshold_uncertainty_score":0.8621454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06199486092157076,"score_gpt":0.2742057600636328,"score_spread":0.212210899142062,"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."}}