{"id":"W4404787431","doi":"10.1109/icjece.2024.3471652","title":"An Adaptive Edge Computing Infrastructure for Internet of Medical Things Applications","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Internet of Things; Edge computing; Computer science; Humanities; Computer security; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003802549,0.0001280373,0.0002299657,0.0003898904,0.00005944721,0.0002200251,0.0007067382,0.0000993002,0.000001218507],"category_scores_gemma":[0.00003008486,0.0001135901,0.00008521107,0.0004234827,0.00002673865,0.0003132866,0.00005246764,0.0003961583,4.190878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006822177,"about_ca_system_score_gemma":0.0005092179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009415754,"about_ca_topic_score_gemma":0.000006232212,"domain_scores_codex":[0.9989364,0.00001743325,0.0003602407,0.0001919442,0.0001931823,0.0003007646],"domain_scores_gemma":[0.9989117,0.0002602903,0.00007140582,0.0001021504,0.0001282115,0.0005262771],"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":[0.000005321255,0.00001687063,0.0002212218,0.0001477134,0.0001251568,0.0001022276,0.00208334,0.004382988,0.0001163685,0.1423171,0.005067429,0.8454143],"study_design_scores_gemma":[0.0001184655,0.0002894601,0.0005097038,0.0001696816,0.000009960446,0.0003489876,0.000002687174,0.9818066,0.0001125557,0.001102803,0.01541024,0.0001188069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0107653,0.001571122,0.9854116,0.0002656362,0.001850382,0.00008398615,3.732875e-7,0.0000367951,0.00001483189],"genre_scores_gemma":[0.9045898,0.000007569646,0.09289807,0.0001496739,0.002335225,0.000001627351,0.000001107428,0.0000134709,0.000003415853],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9774237,"threshold_uncertainty_score":0.463207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005528092468310049,"score_gpt":0.208606891306325,"score_spread":0.2030787988380149,"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."}}