{"id":"W4396853296","doi":"10.1109/fnwf58287.2023.10520517","title":"INGR Roadmap Edge Services and Automation Chapter","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Computer science; Edge computing; Enhanced Data Rates for GSM Evolution; Edge device; Computer network; Telecommunications; Cloud computing; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001624481,0.00005797334,0.0000557208,0.000091485,0.0001088972,0.0001654349,0.0002178094,0.00002555034,0.00000341626],"category_scores_gemma":[0.000004339274,0.00004957643,0.00001367728,0.0002250155,0.000008108855,0.0003602016,0.0003002767,0.00003465289,0.0003000783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000486614,"about_ca_system_score_gemma":0.000005572273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003020751,"about_ca_topic_score_gemma":0.000002798706,"domain_scores_codex":[0.9994861,0.000008696092,0.00008814699,0.0001738067,0.00009293575,0.0001502491],"domain_scores_gemma":[0.9997216,0.00003850398,0.00002421898,0.0001538543,0.00002270887,0.00003905263],"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":[0.000001965238,0.00002102463,0.01128802,0.0001422425,0.00002154318,0.00002460039,0.01185086,0.00004959807,0.001657121,0.07940263,0.01149638,0.884044],"study_design_scores_gemma":[0.0001023005,0.00001782454,0.04956247,0.00002042686,0.000001210104,0.000006608047,0.00002664444,0.9298829,0.0006279176,0.004486557,0.01514727,0.000117873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8684956,0.00005966939,0.09449209,0.002691574,0.006057382,0.0001110476,4.734892e-8,0.002013483,0.0260791],"genre_scores_gemma":[0.98545,0.000008505038,0.01169779,0.0006971786,0.0007930244,0.000002752996,0.000002221044,0.000007088753,0.001341429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9298333,"threshold_uncertainty_score":0.3857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689248537266402,"score_gpt":0.2342617211121718,"score_spread":0.2173692357395077,"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."}}