{"id":"W2784892436","doi":"10.1109/tii.2018.2796499","title":"Cloud-Orchestrated Physical Topology Discovery of Large-Scale IoT Systems Using UAVs","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Cloud computing; Wireless sensor network; Topology (electrical circuits); Network topology; Logical topology; Distributed computing; Software deployment; Computer network; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003931086,0.0003959243,0.0006053832,0.000338763,0.0006404366,0.0008096004,0.0009460917,0.0003315687,0.0003687631],"category_scores_gemma":[0.001133573,0.0002386698,0.0004634508,0.0006386281,0.000424412,0.0009465935,0.0009960334,0.0003487226,0.00009658123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390205,"about_ca_system_score_gemma":0.000758232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006258569,"about_ca_topic_score_gemma":0.005865806,"domain_scores_codex":[0.9996758,0.00006559648,0.00002095254,0.00007643056,0.00009072355,0.00007060976],"domain_scores_gemma":[0.9993666,0.0001936242,0.0001164456,0.0001462404,0.00009668747,0.0000804439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001888796,0.00005346394,0.003511878,0.00007242755,0.00004889792,0.0005269882,0.0001260128,0.9175894,0.01311031,0.01113042,0.001521623,0.05211966],"study_design_scores_gemma":[0.000003421908,0.000008576635,0.0001637332,9.512505e-7,0.000003119417,0.00002775831,0.00001630562,0.9981875,0.0007318808,0.0006418658,0.0002129373,0.000002002494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1652511,0.000569571,0.8301572,0.0002020057,0.0000974226,0.0000813377,0.0000921793,0.0007108999,0.002838376],"genre_scores_gemma":[0.9462306,0.0001661916,0.05300353,0.00003397498,0.00001413994,0.00003116215,0.00009862952,0.00001994971,0.0004018085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006258569,"threshold_uncertainty_score":0.01244432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591074809819912,"score_gpt":0.2662631052924295,"score_spread":0.2303523571942304,"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."}}