{"id":"W4414698132","doi":"10.2196/83423","title":"Peer-Review of “Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care”","year":2025,"lang":"en","type":"article","venue":"JMIRx Med","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Architecture; Systems architecture; Telemedicine; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007462003,0.0001935429,0.0004422681,0.0001465412,0.0002733871,0.00005558941,0.0004996624,0.00006895728,8.755503e-7],"category_scores_gemma":[0.0003117989,0.0001817911,0.0001724084,0.0006016783,0.00002400766,0.00006532918,0.0001557172,0.0002434177,0.000001489578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741258,"about_ca_system_score_gemma":0.0002754386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001157099,"about_ca_topic_score_gemma":0.000001630115,"domain_scores_codex":[0.9980419,0.0001872202,0.0004866786,0.0003859753,0.0004155571,0.0004827286],"domain_scores_gemma":[0.998288,0.000294337,0.0003177846,0.0004384927,0.0005583467,0.0001030153],"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":[0.0000176164,0.00003347911,0.0002166602,0.003449477,0.00002980605,0.000002924308,0.002281098,0.03703488,0.0002060141,0.00002719682,0.0062989,0.950402],"study_design_scores_gemma":[0.0005475622,0.0003214424,0.0003388817,0.008674914,0.0000268262,0.000002913653,0.000055816,0.9127306,0.001122623,0.0001297867,0.07575546,0.0002931753],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005933099,0.009660693,0.9722009,0.005252965,0.005274962,0.0009453566,4.721634e-7,0.0002140024,0.0005175411],"genre_scores_gemma":[0.1511551,0.001001102,0.8358729,0.003608264,0.004948381,0.00008711045,0.0001010712,0.0001356438,0.003090457],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9501088,"threshold_uncertainty_score":0.7413227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982769109956016,"score_gpt":0.3178829767969087,"score_spread":0.2980552856973485,"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."}}