{"id":"W2768934089","doi":"10.1109/lcn.2017.68","title":"Wireless Positioning Sensor Network Integrated with Cloud for Industrial Automation","year":2017,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wireless sensor network; Computer science; Automation; Scalability; Real-time computing; Cloud computing; Reliability (semiconductor); Wireless; Redundancy (engineering); Embedded system; Engineering; Computer network; Telecommunications","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":[0.00007491718,0.00009904122,0.0001114746,0.00003506957,0.0003331152,0.0001578289,0.0001368954,0.000145173,0.00002238079],"category_scores_gemma":[0.00004009966,0.00007828076,0.00002323859,0.00006344441,0.00004195412,0.0001582212,0.00001418819,0.00009955353,0.000007476164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000402836,"about_ca_system_score_gemma":0.00001340675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002168359,"about_ca_topic_score_gemma":0.0000350274,"domain_scores_codex":[0.99954,0.000005433647,0.0001214001,0.00009214144,0.00006370277,0.0001772791],"domain_scores_gemma":[0.9996285,0.00002639169,0.00004513095,0.0002140629,0.00006528051,0.00002061653],"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":[0.0003843336,0.00005271641,0.01925541,0.0001825057,0.0004739908,0.0000185622,0.0005143565,0.4954695,0.00362241,0.1982767,0.09594451,0.185805],"study_design_scores_gemma":[0.002009153,0.000140476,0.001226001,0.0001739807,0.00004361525,0.0000101389,0.0003824721,0.9368258,0.04835034,0.001006487,0.009394174,0.0004374361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.189091,0.00001048174,0.8008978,0.0002030966,0.0007669604,0.0003637288,0.00001097814,0.002002631,0.006653304],"genre_scores_gemma":[0.9923163,0.000004147284,0.007022296,0.00002114113,0.0003115119,0.00003392472,0.00004015316,0.00002300219,0.00022753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8032253,"threshold_uncertainty_score":0.3192197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856791621176017,"score_gpt":0.2246133418255247,"score_spread":0.2060454256137645,"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."}}