{"id":"W4250934960","doi":"10.1007/978-3-319-95037-2","title":"Internet of Things for Smart Cities","year":2018,"lang":"en","type":"book","venue":"Springer briefs in electrical and computer engineering","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Internet of Things; Smart city; Big data; Urbanization; Analytics; Computer science; Computer security; The Internet; Internet privacy; Telecommunications; Data science; World Wide Web","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":[0.0003561019,0.001544755,0.0007208713,0.002265696,0.0007390857,0.003000444,0.0007352483,0.001921462,0.05522732],"category_scores_gemma":[0.0007364611,0.0004348728,0.0006601167,0.003881402,0.000603247,0.007402642,0.002170328,0.003026351,0.03129114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524319,"about_ca_system_score_gemma":0.0008166902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005390137,"about_ca_topic_score_gemma":0.001627031,"domain_scores_codex":[0.9996356,0.00003977018,0.00001999332,0.00004763718,0.0002202209,0.00003680962],"domain_scores_gemma":[0.9996994,0.00008431551,0.00002748525,0.00004356945,0.00009032175,0.00005494658],"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":[0.0000128896,0.00003644444,0.0000595214,0.0005319981,0.00001444241,0.00009379727,0.00007464532,0.0005711162,0.000898611,0.05339345,0.6566691,0.287644],"study_design_scores_gemma":[0.000002009937,0.0000136144,0.0000898153,0.0001830894,0.000003246239,0.0001011772,0.00002830925,0.0002017247,0.00006762935,0.01076924,0.988534,0.000006197231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0007808394,0.1831625,0.01890727,0.007914547,0.0411907,0.0001345722,0.0004485451,0.0008971465,0.7465639],"genre_scores_gemma":[0.004961814,0.1350103,0.009119369,0.004351091,0.009609833,0.00009970551,0.0008655505,0.0004798624,0.8355024],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05522732,"threshold_uncertainty_score":0.1847538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007444368548563328,"score_gpt":0.1713057279397827,"score_spread":0.1638613593912193,"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."}}