{"id":"W3182875197","doi":"10.3390/electronics10141615","title":"Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northwestern Polytechnic","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; National Research Foundation of Korea; National Research Foundation","keywords":"LPWAN; Computer science; Artificial intelligence; Machine learning; Pandemic; Health care; Wide area network; Coronavirus disease 2019 (COVID-19); Telecommunications; Medicine","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":[0.0008011719,0.0002711213,0.0002359533,0.0005704728,0.0005500202,0.000649662,0.000393648,0.0008286704,0.0009199519],"category_scores_gemma":[0.002556441,0.0001184499,0.000243815,0.0006565261,0.0002945067,0.0008225098,0.000529004,0.0004349551,0.0002282541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008134379,"about_ca_system_score_gemma":0.0004514815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00564273,"about_ca_topic_score_gemma":0.005661167,"domain_scores_codex":[0.9994332,0.0002178871,0.00003457639,0.00007838313,0.0001243599,0.0001115167],"domain_scores_gemma":[0.9990152,0.000520014,0.0001073149,0.00004758964,0.000231699,0.0000780772],"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":[0.0007678281,0.000862231,0.1319673,0.0003773668,0.0001176015,0.003264563,0.001204651,0.5331737,0.01360316,0.01007936,0.01316004,0.2914223],"study_design_scores_gemma":[0.00001063562,0.0002225898,0.0306168,0.00003538375,0.00002244226,0.0003792021,0.001095716,0.9564673,0.003634362,0.003971352,0.003517861,0.00002646446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919737,0.0008767683,0.05362769,0.003990819,0.0002137779,0.0002251559,0.0003805161,0.0004374211,0.02051083],"genre_scores_gemma":[0.9924707,0.0002341685,0.005902001,0.00009600914,0.00001909729,0.0000301756,0.0001203204,0.000006550386,0.00112097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00564273,"threshold_uncertainty_score":0.0112198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623243539319114,"score_gpt":0.2749950803360474,"score_spread":0.2587626449428562,"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."}}