{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001680375,0.001483268,0.0007119431,0.002087297,0.001265364,0.007640651,0.001678269,0.004062467,0.26813],"category_scores_gemma":[0.002336839,0.0004683649,0.0008168715,0.002401116,0.0006372119,0.005903752,0.002608918,0.003791332,0.2673357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307966,"about_ca_system_score_gemma":0.004902297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005835237,"about_ca_topic_score_gemma":0.005097068,"domain_scores_codex":[0.9987345,0.0001111087,0.00005879493,0.0001696282,0.0007297164,0.000196157],"domain_scores_gemma":[0.998494,0.0001865238,0.00004552105,0.0001187748,0.0008455632,0.0003096225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001726618,0.00003266412,0.00003324388,0.0002012411,0.000002146119,0.00003438053,0.00003175991,0.0002048151,0.0003743155,0.02664492,0.8603192,0.112104],"study_design_scores_gemma":[0.000001113667,0.000009232545,0.00003657561,0.0000596179,8.625879e-7,0.00001960029,0.00001542908,0.00004894563,0.00004645513,0.001130921,0.9986283,0.000002994963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005937324,0.01804704,0.004935896,0.01507327,0.02435917,0.0002496401,0.002389091,0.002809301,0.9315428],"genre_scores_gemma":[0.003055499,0.02247087,0.00619096,0.004498212,0.003147285,0.0001701437,0.004133035,0.0008858881,0.9554481],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.26813,"threshold_uncertainty_score":0.8969843,"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."}}