{"id":"W4416806640","doi":"10.1016/b978-0-443-33439-9.00022-2","title":"Empowering healthcare through fog computing and IoT integration: Challenges, opportunities, and future directions","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Cloud computing; Fog computing; Scalability; Internet of Things; Construct (python library); Health care; Data processing; Cloud computing security","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":[0.0006785403,0.0004928361,0.0004585749,0.0005046384,0.0003825529,0.004203593,0.0006751991,0.001504295,0.009377814],"category_scores_gemma":[0.0005397237,0.0002515537,0.000383796,0.001362839,0.0009890896,0.004604527,0.001374721,0.0023901,0.002918958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000622227,"about_ca_system_score_gemma":0.001256609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118588,"about_ca_topic_score_gemma":0.002665163,"domain_scores_codex":[0.9997932,0.00004117042,0.000008702683,0.00002457995,0.00009825407,0.00003409923],"domain_scores_gemma":[0.9996479,0.0002039989,0.00001433296,0.00002021474,0.00005912163,0.00005446467],"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":[0.00002946603,0.0000693839,0.0003315504,0.0008553738,0.00002333891,0.0001596066,0.0003871651,0.001319169,0.002247123,0.3266982,0.1371688,0.530711],"study_design_scores_gemma":[0.000004856297,0.00004254525,0.0003699077,0.000976642,0.00001272131,0.0003945815,0.0004993073,0.003230121,0.0005455819,0.1285222,0.8653817,0.00001984723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.005222775,0.4427594,0.08190049,0.05271082,0.01155036,0.00009994058,0.0002507723,0.0006626065,0.4048428],"genre_scores_gemma":[0.06466766,0.6107062,0.07554087,0.01364626,0.008277847,0.0001063834,0.0004132053,0.0002156735,0.226426],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009377814,"threshold_uncertainty_score":0.03137189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05303670927200693,"score_gpt":0.292059555544332,"score_spread":0.2390228462723251,"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."}}