{"id":"W2904773330","doi":"10.3390/s18124307","title":"An Edge Computing Based Smart Healthcare Framework for Resource Management","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gnowit (Canada)","funders":"","keywords":"Cloud computing; Computer science; Edge computing; Enhanced Data Rates for GSM Evolution; Resource (disambiguation); Key (lock); Service (business); Distributed computing; Petri net; Resource allocation; The Internet; Computer security; Computer network; World Wide Web; Operating system; Artificial intelligence; Business","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":[0.0005908938,0.0001810944,0.0001830849,0.0001418733,0.0005891889,0.0001926145,0.0008073797,0.0001001807,0.0000017363],"category_scores_gemma":[0.00003639765,0.0001839668,0.0000844753,0.0004170259,0.00006520324,0.00009587796,0.0001911871,0.0001667488,0.00006107845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005906567,"about_ca_system_score_gemma":0.00003298173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002127281,"about_ca_topic_score_gemma":0.000002729402,"domain_scores_codex":[0.9981732,0.0001199044,0.0002656428,0.0005874091,0.0002364626,0.0006173149],"domain_scores_gemma":[0.9985317,0.0002277052,0.000109233,0.0008250313,0.0001292503,0.0001770965],"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":[0.00009477929,0.0002531285,0.003635274,0.0004493504,0.00007689851,0.00006407307,0.008838703,0.001721475,0.00007177622,0.1349648,0.03259026,0.8172395],"study_design_scores_gemma":[0.0004084803,0.000394406,0.00286436,0.000192282,0.000008943051,0.000005777017,0.0001720419,0.8440548,0.0008037854,0.006900669,0.1438062,0.0003882397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09172907,0.00003398706,0.897202,0.002528458,0.005405948,0.0003938354,5.331191e-7,0.0004875686,0.002218642],"genre_scores_gemma":[0.4855894,4.420943e-7,0.5078045,0.002700527,0.003757951,0.000004419124,0.000006130054,0.00002525123,0.0001113762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8423333,"threshold_uncertainty_score":0.7501947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797687156466805,"score_gpt":0.3055972254322096,"score_spread":0.2776203538675416,"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."}}