{"id":"W2997878718","doi":"10.1109/iotsms48152.2019.8939171","title":"Analytics Everywhere for Streaming IoT Data","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Analytics; Cloud computing; Internet of Things; Stream processing; Architecture; Data stream mining; Edge computing; Data analysis; Big data; Enhanced Data Rates for GSM Evolution; Data science; Fog computing; Message broker; Streaming data; Edge device; Distributed computing; World Wide Web; Data mining; Computer network; Artificial intelligence; 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":[0.001300849,0.001433164,0.000948991,0.001716968,0.0006423919,0.003506426,0.001183972,0.0007966707,0.002588172],"category_scores_gemma":[0.005875824,0.0004596721,0.0006523513,0.001952132,0.0005960748,0.005622379,0.002276584,0.001864497,0.00114019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005581075,"about_ca_system_score_gemma":0.0007581334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579623,"about_ca_topic_score_gemma":0.001720241,"domain_scores_codex":[0.9988253,0.0001796361,0.0001026453,0.0002590021,0.0005144074,0.0001190252],"domain_scores_gemma":[0.9971724,0.0009485788,0.0001893062,0.0009014755,0.0006178239,0.0001704722],"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":[0.001259469,0.0005428123,0.02697921,0.001425814,0.0005673184,0.002117065,0.001484729,0.1289223,0.07147584,0.1322004,0.07138708,0.5616379],"study_design_scores_gemma":[0.000049399,0.000169724,0.003941885,0.00021439,0.00007690761,0.0006730108,0.0007398619,0.7346714,0.02635972,0.1844688,0.04855843,0.00007653562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06196894,0.003669503,0.8910052,0.003638643,0.00101804,0.0004630165,0.005611733,0.01499172,0.01763328],"genre_scores_gemma":[0.7178577,0.003419686,0.2621679,0.0008645833,0.0006336318,0.0002840895,0.009808231,0.000773281,0.004190932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003506426,"threshold_uncertainty_score":0.00865835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06504593016136516,"score_gpt":0.3061124885251686,"score_spread":0.2410665583638034,"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."}}