{"id":"W2808038031","doi":"10.1016/j.future.2018.07.040","title":"Opportunistic Edge Computing: Concepts, opportunities and research challenges","year":2018,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Scalability; Cloud computing; Edge computing; Computer science; Software deployment; Enhanced Data Rates for GSM Evolution; Distributed computing; Key (lock); Utility computing; The Internet; Edge device; Data science; Computer network; Computer security; World Wide Web; Telecommunications; Database; Software engineering; Cloud computing security; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001923708,0.0003241929,0.0004292362,0.0002794698,0.0008951572,0.001017445,0.0008173434,0.0002484876,0.00001446253],"category_scores_gemma":[0.000005251008,0.0002952584,0.00005756354,0.0002967075,0.0003684702,0.0004455316,0.000578679,0.0003289765,0.0000574101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005671291,"about_ca_system_score_gemma":0.0002741954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001792216,"about_ca_topic_score_gemma":0.0000119021,"domain_scores_codex":[0.9963443,0.0007530447,0.0006126131,0.0008973405,0.0007561795,0.0006365191],"domain_scores_gemma":[0.9972788,0.0002193884,0.0002030239,0.0009130472,0.0009573604,0.0004283701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005137985,0.00004318244,0.00001377881,0.0000664452,0.0000403719,0.00008979541,0.003673518,0.00002352967,0.00004024917,0.4004728,0.370151,0.2253802],"study_design_scores_gemma":[0.0002369163,0.0002817657,0.00003655373,0.00005560429,0.000005445604,0.0001903946,0.0005307285,0.5827659,0.00001196247,0.00005394361,0.4155823,0.0002485082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009456464,0.00668118,0.9328497,0.003886674,0.04972718,0.0004209241,0.000009880238,0.0003131094,0.005165722],"genre_scores_gemma":[0.698516,0.002229086,0.02960553,0.001137766,0.2664567,0.00004663608,0.0001117779,0.00005589625,0.001840561],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9032441,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2063548228275931,"score_gpt":0.3427392126485317,"score_spread":0.1363843898209386,"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."}}