{"id":"W4411232033","doi":"10.1109/miot.2025.3578949","title":"Revolutionizing Patient Care with Medical IoT and Generative AI","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Internet of Things; Generative grammar; Computer science; Data science; Artificial intelligence; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001268405,0.0001652549,0.0002242927,0.0002002282,0.00006062669,0.0001274777,0.0002790077,0.0000838399,0.0001993],"category_scores_gemma":[0.0001709673,0.0001259218,0.0000335705,0.0003284891,0.0001761575,0.0005748913,0.0002478461,0.0001957547,0.00003587608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887235,"about_ca_system_score_gemma":0.00004123009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506863,"about_ca_topic_score_gemma":0.0001839628,"domain_scores_codex":[0.9989429,0.000007097486,0.0002644886,0.0002881387,0.0003242227,0.0001731396],"domain_scores_gemma":[0.9991809,0.00003398353,0.0001725077,0.0001887289,0.0004097326,0.00001417879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001004572,0.000484785,0.06519625,0.004656604,0.0005142416,0.000182317,0.003512479,0.00020664,0.006028629,0.06981593,0.3546915,0.493706],"study_design_scores_gemma":[0.002845728,0.0004039796,0.008210141,0.01433419,0.0005324364,0.00007368591,0.001793861,0.08342043,0.03902789,0.005097493,0.8426217,0.001638486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440655,0.002223229,0.0952268,0.008932794,0.002133367,0.0005491479,0.00001121262,0.0002105995,0.04664738],"genre_scores_gemma":[0.9927439,0.00002195645,0.0009030252,0.005081571,0.0002040581,0.00001005296,0.00003066711,0.00001257025,0.0009922017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4920675,"threshold_uncertainty_score":0.5134943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689051900539492,"score_gpt":0.2595047957201738,"score_spread":0.2426142767147788,"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."}}