{"id":"W2947302552","doi":"10.1145/3309545","title":"Smart City System Design","year":2019,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Computer science; Big data; Smart city; Cloud computing; Implementation; Electricity; Analytics; Data science; Computer security; Edge computing; The Internet; Artificial intelligence; Telecommunications; World Wide Web; Internet of Things; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01249491,0.001014363,0.003033352,0.0004747579,0.0005061851,0.0008040032,0.007485121,0.0005803744,0.000002076999],"category_scores_gemma":[0.0006705345,0.0009028604,0.0008587484,0.001585042,0.00005585031,0.000271444,0.004678357,0.001083948,0.001587568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539104,"about_ca_system_score_gemma":0.0008190521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001267718,"about_ca_topic_score_gemma":7.048816e-7,"domain_scores_codex":[0.9889578,0.005899938,0.001459441,0.001716929,0.0006989511,0.001266919],"domain_scores_gemma":[0.9890044,0.005461759,0.001106666,0.003946715,0.0002427214,0.0002377679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.092217e-7,0.00002487125,0.00005480824,0.008060127,0.0001237997,0.00004746702,0.00007487153,0.00003050482,3.733154e-8,0.0002249011,0.006110772,0.9852476],"study_design_scores_gemma":[0.0002308989,0.00009261401,0.0001381544,0.01988111,0.0002141867,0.0003226839,0.000002906146,0.03445546,0.000001165435,0.00008185514,0.9429983,0.001580646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001892619,0.4938884,0.4834423,0.000009237832,0.02043389,0.0006092053,7.70899e-7,0.0008123869,0.000801873],"genre_scores_gemma":[0.0001549952,0.8151494,0.1739307,0.0001128763,0.009215044,0.00002937883,0.0001019059,0.0003010628,0.001004725],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9836669,"threshold_uncertainty_score":0.9993422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939511185416128,"score_gpt":0.3414735481069833,"score_spread":0.1475224295653705,"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."}}