{"id":"W2605896830","doi":"10.1109/icin.2017.7899413","title":"An extended SNMP based IoT context-aware model for dynamic adaptability of embedded systems software","year":2017,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Chemicals (Canada)","funders":"","keywords":"Computer science; Adaptability; Context (archaeology); Distributed computing; Software; Internet of Things; The Internet; Embedded system; Software engineering; 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":[0.0002607149,0.0003978879,0.000385209,0.00034839,0.0003536798,0.0009148277,0.001243203,0.0005947755,0.00176259],"category_scores_gemma":[0.0007541109,0.0002314731,0.0003766573,0.0002866868,0.0003939155,0.001415696,0.0006906399,0.0009718311,0.0004686098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004956715,"about_ca_system_score_gemma":0.0007984103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002777143,"about_ca_topic_score_gemma":0.002917934,"domain_scores_codex":[0.9996332,0.00005455901,0.000023067,0.00007951427,0.0001693721,0.00004032394],"domain_scores_gemma":[0.9997925,0.00004344928,0.00001961064,0.00005169708,0.00007725081,0.00001543695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001476309,0.0001416184,0.0009283848,0.0001604345,0.00004353802,0.0005503037,0.0002640515,0.7355418,0.02826766,0.1583942,0.002303108,0.07325725],"study_design_scores_gemma":[0.000009501909,0.00003354863,0.0001234157,0.000007419534,0.00001126015,0.00006547957,0.00001145891,0.9831589,0.001740833,0.01096951,0.003861429,0.00000718648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01887012,0.000157514,0.9727325,0.0001505163,0.00006153867,0.00009079877,0.00009087863,0.000713937,0.007132109],"genre_scores_gemma":[0.7006379,0.0004654575,0.2861914,0.0001525278,0.0000730067,0.0004737849,0.0002859607,0.0001535693,0.01156627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002777143,"threshold_uncertainty_score":0.005896509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588071233690373,"score_gpt":0.3261425719114946,"score_spread":0.2702618595745909,"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."}}