{"id":"W4378228333","doi":"10.3390/s23115055","title":"An Intelligent Healthcare System Using IoT in Wireless Sensor Network","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"King Saud University","keywords":"Wireless sensor network; Computer science; Encryption; Authentication (law); Energy consumption; Computer network; Data transmission; Wireless; Internet of Things; Computer security; Embedded system; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798215,0.0002833088,0.0003760983,0.0002618795,0.0004208885,0.0005027154,0.0004297484,0.0005481905,0.001687098],"category_scores_gemma":[0.000198682,0.000131882,0.0002457403,0.0002543845,0.000181304,0.0006752376,0.0004325884,0.0002689825,0.000627962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105558,"about_ca_system_score_gemma":0.0003174398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004196563,"about_ca_topic_score_gemma":0.0005280557,"domain_scores_codex":[0.9997843,0.00003568732,0.00002063724,0.00005521321,0.00008039423,0.00002370966],"domain_scores_gemma":[0.9999208,0.00001393754,0.00001241379,0.00001163457,0.00003146828,0.000009659982],"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":[0.001021191,0.0005508476,0.008416526,0.001094631,0.0002142873,0.002111687,0.0004693602,0.0421016,0.3604553,0.02601976,0.02315164,0.5343932],"study_design_scores_gemma":[0.000200947,0.001680842,0.0100954,0.0001632303,0.0003412933,0.004591887,0.0002468253,0.6578291,0.2175101,0.01029701,0.09689376,0.0001496125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09916634,0.002001652,0.8635322,0.001299656,0.0007344868,0.000520093,0.0003023151,0.004910788,0.02753237],"genre_scores_gemma":[0.8010696,0.001299801,0.1781968,0.0007895782,0.0001406106,0.0003169098,0.0003982634,0.00005639905,0.01773208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001687098,"threshold_uncertainty_score":0.005643964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029706669170612,"score_gpt":0.2736608013008524,"score_spread":0.2433637346091463,"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."}}