{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005834364,0.0003128442,0.0006436034,0.0005993924,0.001055667,0.0010042,0.001565576,0.0006844159,0.001316189],"category_scores_gemma":[0.001355081,0.0001346399,0.0003067208,0.001000754,0.0005948962,0.001647811,0.001072703,0.0006984127,0.0004453094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073312,"about_ca_system_score_gemma":0.001047995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635129,"about_ca_topic_score_gemma":0.001787135,"domain_scores_codex":[0.9991924,0.0001103123,0.00007805248,0.0001964713,0.0002703305,0.0001523429],"domain_scores_gemma":[0.9991847,0.0001533671,0.00009365296,0.0002202034,0.000288014,0.00006007609],"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":[0.000817582,0.0006174459,0.002406535,0.0001771784,0.00008317002,0.0007385075,0.0005116429,0.3037816,0.06616727,0.1066086,0.01216502,0.5059255],"study_design_scores_gemma":[0.0000140469,0.00007660699,0.0002441538,0.000005724898,0.00001160311,0.0001113253,0.00002253397,0.9817443,0.006103438,0.009362421,0.002286506,0.00001725936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07495193,0.0004888974,0.9156976,0.0004884157,0.0001867141,0.0001530905,0.0001020198,0.001963889,0.005967417],"genre_scores_gemma":[0.9308374,0.000141842,0.06512271,0.0001735692,0.00006957899,0.0000796125,0.0001256222,0.00001953986,0.003430161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002635129,"threshold_uncertainty_score":0.007787466,"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."}}