{"id":"W3046264805","doi":"10.1109/tii.2020.3012759","title":"Machine Learning Assisted Information Management Scheme in Service Concentrated IoT","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Service (business); Cloud computing; Computer network; Provisioning; Data as a service; Distributed computing; Process (computing)","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":[0.0002837965,0.000206259,0.0002215228,0.0002549849,0.0002267256,0.000312373,0.0005294408,0.0001789917,0.00001307935],"category_scores_gemma":[0.00001521553,0.0002128082,0.00006096033,0.001760708,0.00001782704,0.001331525,0.00001409451,0.0008897128,0.0002580427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316133,"about_ca_system_score_gemma":0.00009072723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005385549,"about_ca_topic_score_gemma":0.000002995651,"domain_scores_codex":[0.9982446,0.00006693346,0.0008427101,0.0001198342,0.0003677786,0.0003581124],"domain_scores_gemma":[0.9992182,0.00007279543,0.0002393584,0.0002141115,0.00009809567,0.0001574133],"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":[0.0002450676,0.0002151191,0.0002349455,0.0003180957,0.0001860338,0.00001843384,0.02423,0.3569624,0.00009808618,0.000826374,0.002688513,0.613977],"study_design_scores_gemma":[0.002227156,0.0001251746,0.00003638279,0.00008685989,0.00001243574,0.000005752107,0.0003844111,0.9668925,0.001328379,0.00001141877,0.02863754,0.0002520051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01858083,0.000004091202,0.9727273,0.001452967,0.003237019,0.0004542746,0.000002957219,0.0003951534,0.003145383],"genre_scores_gemma":[0.9487383,0.00002975217,0.0435328,0.00690502,0.0005691885,0.0000461473,0.00005213977,0.00002528216,0.0001013044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9301575,"threshold_uncertainty_score":0.8678065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05909624950561673,"score_gpt":0.2436786917864604,"score_spread":0.1845824422808437,"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."}}