{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003893827,0.0001422703,0.0001946085,0.0001403716,0.0003487118,0.0003540729,0.001991732,0.00005649812,0.00005506304],"category_scores_gemma":[0.00002803886,0.000134621,0.00002546026,0.0005014904,0.0001266974,0.0004205378,0.004530564,0.0001938173,0.0002323592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001016543,"about_ca_system_score_gemma":0.00002133655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832795,"about_ca_topic_score_gemma":0.00008924212,"domain_scores_codex":[0.9990184,0.00001314981,0.0002823693,0.0003388443,0.0001342167,0.000213021],"domain_scores_gemma":[0.9965314,0.000127807,0.0001835643,0.002998681,0.0001454862,0.00001301877],"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":[0.000005825226,0.0001524275,0.03907917,0.0001946816,0.00003470802,8.61229e-7,0.00006805672,0.000245068,0.000515433,0.02058782,0.001592715,0.9375232],"study_design_scores_gemma":[0.0001449126,0.00000495159,0.002816959,0.0001041542,0.00002928978,0.000003380729,0.0002792049,0.5577494,0.00001301494,0.0001912184,0.4384594,0.0002040893],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696035,0.002111125,0.01071853,0.0008173652,0.0007892671,0.0005310021,0.00002913398,0.0002409345,0.0151591],"genre_scores_gemma":[0.9971947,0.0003138774,0.001087428,0.0004686487,0.000393926,0.00000595627,0.0003714858,0.00001969969,0.000144298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9373192,"threshold_uncertainty_score":0.5647024,"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."}}