{"id":"W3122035769","doi":"10.1109/jiot.2021.3053419","title":"EWPS: Emergency Data Communication in the Internet of Medical Things","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Computer network; Network packet; Scheduling (production processes); Priority queue; The Internet; Distributed computing; Packet loss; Network congestion; Queue; Real-time computing","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":[0.0003685721,0.0003744747,0.0002713095,0.0003616881,0.0003250427,0.0007112158,0.0006364104,0.0006862169,0.001862317],"category_scores_gemma":[0.0005905444,0.0001141809,0.0003597826,0.0006676071,0.0002791683,0.001382369,0.0007029213,0.0005265105,0.0003682142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295436,"about_ca_system_score_gemma":0.0005303106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204229,"about_ca_topic_score_gemma":0.001184614,"domain_scores_codex":[0.9997529,0.00005961166,0.00001933348,0.00004824673,0.00007993728,0.00003991],"domain_scores_gemma":[0.9998527,0.00005368325,0.00001963314,0.00001660886,0.00004084723,0.00001642057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000354071,0.0002289705,0.005230743,0.001401505,0.0001639115,0.002622074,0.0004264512,0.1706932,0.02365972,0.2730458,0.04180964,0.4803638],"study_design_scores_gemma":[0.00003841133,0.000443013,0.003090248,0.0001479725,0.0001072462,0.00184803,0.0004174432,0.8291738,0.008542553,0.05694614,0.09919011,0.0000550642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05169877,0.009989436,0.8838453,0.003617741,0.002440679,0.0002593535,0.0003738428,0.001157016,0.04661796],"genre_scores_gemma":[0.8263512,0.009958826,0.139952,0.001542461,0.0008265185,0.0002052685,0.0004279396,0.00009465635,0.02064109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001862317,"threshold_uncertainty_score":0.006230056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05753810534531233,"score_gpt":0.3267395665297884,"score_spread":0.2692014611844761,"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."}}