{"id":"W2965210796","doi":"10.1155/2019/9245392","title":"IoT Big Data Analytics","year":2019,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island; St. Francis Xavier University; Lakehead University","funders":"","keywords":"Computer science; Big data; Analytics; Data science; Data analysis; Internet of Things; World Wide Web; Data mining","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":[0.001364793,0.001581972,0.0008045354,0.003546573,0.0007889678,0.004713127,0.001210327,0.0007485243,0.02345448],"category_scores_gemma":[0.003891457,0.000597447,0.0009500784,0.003926016,0.0005314063,0.005236496,0.002511769,0.001419145,0.01609787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007082631,"about_ca_system_score_gemma":0.000992748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651914,"about_ca_topic_score_gemma":0.002091519,"domain_scores_codex":[0.9986302,0.0001356512,0.00008443782,0.000267418,0.0007584417,0.0001239569],"domain_scores_gemma":[0.9973213,0.0004911183,0.0001487269,0.001072975,0.0007768659,0.0001890718],"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":[0.0005829923,0.0002673316,0.01526958,0.0008247038,0.0002551551,0.0004194885,0.0002969041,0.01030509,0.01430315,0.07146087,0.4569538,0.4290609],"study_design_scores_gemma":[0.000066033,0.0001083444,0.0104549,0.0002886832,0.0001452019,0.0005489585,0.0006421043,0.09800419,0.01966712,0.1664543,0.7035166,0.0001036763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03582147,0.008516151,0.3703803,0.01579792,0.008283592,0.001338277,0.06885066,0.04091648,0.4500951],"genre_scores_gemma":[0.5230048,0.0134126,0.1920954,0.008285584,0.007183751,0.00106927,0.1287674,0.00383023,0.122351],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02345448,"threshold_uncertainty_score":0.07846308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645845567022588,"score_gpt":0.3227329396983696,"score_spread":0.1581483829961108,"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."}}