{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001058925,0.0001446083,0.0002291273,0.0001345899,0.0001226018,0.00004518815,0.0001154175,0.0002244808,0.00001941645],"category_scores_gemma":[0.000002996995,0.0001423529,0.00006567613,0.0004261563,0.0001006925,0.0001943059,0.000001225689,0.000271152,0.00002494472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008906624,"about_ca_system_score_gemma":0.00005512064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003872759,"about_ca_topic_score_gemma":0.00001383542,"domain_scores_codex":[0.9990633,0.00002108274,0.0004931889,0.00006736593,0.0001415325,0.0002135048],"domain_scores_gemma":[0.9994637,0.00005281246,0.00009840674,0.000242209,0.00009018341,0.00005273863],"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":[0.00003243156,0.0001030735,0.00000629268,0.00003879938,0.00005637398,1.07702e-7,0.001322867,0.9960061,0.001169831,0.000279174,0.0002143477,0.0007705714],"study_design_scores_gemma":[0.0006107678,0.0001526297,0.000002635526,0.00004310289,0.0000611152,0.000005219167,0.001076785,0.9521686,0.04521369,0.00001734525,0.0004964476,0.0001517018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4558984,0.000002355492,0.5423715,0.000005702813,0.0008599075,0.0001823876,0.00009598349,0.00007885476,0.0005049661],"genre_scores_gemma":[0.9979433,0.000006194953,0.001517791,0.00001183256,0.000409237,0.00002034833,0.000008391149,0.00002050059,0.00006239877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5420449,"threshold_uncertainty_score":0.5804985,"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."}}