{"id":"W3084238106","doi":"10.1201/9781003038412","title":"Internet of Everything and Big Data","year":2021,"lang":"en","type":"book","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Big data; The Internet; Computer science; Internet privacy; Data science; 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":[0.0004949088,0.001601406,0.00102058,0.003020241,0.0009188701,0.003863366,0.000933176,0.001387869,0.07993065],"category_scores_gemma":[0.001962219,0.0007178389,0.0005169124,0.005113889,0.0009476984,0.005396891,0.001822687,0.002973426,0.0506694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037512,"about_ca_system_score_gemma":0.001368287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001660835,"about_ca_topic_score_gemma":0.0047052,"domain_scores_codex":[0.9995172,0.00004791081,0.00001478588,0.00005392267,0.0003378576,0.00002827528],"domain_scores_gemma":[0.9990469,0.0004396675,0.00004617045,0.0001165329,0.0002224058,0.0001283398],"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":[0.000008438012,0.00001829873,0.00004061068,0.0001666251,0.000007143567,0.00003661361,0.00003965859,0.0003077093,0.000193064,0.04767868,0.8550805,0.09642259],"study_design_scores_gemma":[0.000002546127,0.000006388771,0.0001268781,0.000136671,0.000003673307,0.0001072548,0.00001767204,0.0003461729,0.00006049456,0.03100339,0.9681814,0.000007523549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003337435,0.05491733,0.0179096,0.005471207,0.01097031,0.0001136968,0.0009317978,0.001168875,0.9081835],"genre_scores_gemma":[0.002388042,0.02918574,0.0087023,0.002604939,0.002999157,0.00009308031,0.0007828415,0.0006178278,0.952626],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07993065,"threshold_uncertainty_score":0.2673947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0715219406773651,"score_gpt":0.247521312087466,"score_spread":0.1759993714101009,"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."}}