{"id":"W3024480603","doi":"10.1109/mce.2020.2990383","title":"A New 5G eHealth Architecture Based on Optical Camera Communication: An Overview, Prospects, and Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Consumer Electronics Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Korea Institute for Advancement of Technology; Ministry of Trade, Industry and Energy","keywords":"eHealth; Computer science; Cloud computing; Wearable computer; Server; mHealth; Remote patient monitoring; Telemedicine; Health care; Embedded system; Telecommunications; Real-time computing; Computer network; Operating system; 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":[0.0003972029,0.0005280657,0.0002731263,0.001026364,0.0004070415,0.001155813,0.0008704516,0.001249883,0.00273982],"category_scores_gemma":[0.0002220822,0.0002599249,0.0002790191,0.0008312656,0.0003372755,0.002242722,0.0006741224,0.00114846,0.0007434771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981925,"about_ca_system_score_gemma":0.0004823207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689566,"about_ca_topic_score_gemma":0.001478983,"domain_scores_codex":[0.9996952,0.00004042632,0.00002010403,0.0000695635,0.0001268118,0.00004794458],"domain_scores_gemma":[0.999822,0.00002262162,0.00001983091,0.0000121177,0.0001005791,0.00002298018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002915591,0.0001627445,0.003645895,0.001224225,0.0000757025,0.0008508195,0.0003451231,0.00249195,0.05176903,0.05534784,0.02253775,0.8612574],"study_design_scores_gemma":[0.00008009789,0.00159189,0.005812873,0.0005895072,0.000257822,0.00467042,0.0004404511,0.08407062,0.05077244,0.01423825,0.8372682,0.0002074769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03505991,0.2544363,0.5875624,0.006280599,0.002312672,0.0004717265,0.0002090193,0.002128168,0.1115391],"genre_scores_gemma":[0.5110711,0.1636025,0.251762,0.005594919,0.002953865,0.0003713047,0.0005744022,0.0001345109,0.06393545],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00273982,"threshold_uncertainty_score":0.009165585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391951202732964,"score_gpt":0.2779861286025428,"score_spread":0.2540666165752131,"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."}}