{"id":"W2779923543","doi":"10.1109/rtuwo.2017.8228538","title":"A waste city management system for smart cities applications","year":2017,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Garbage; Geolocation; Truck; Bin; Waste collection; Computer science; Smart city; Internet of Things; Transport engineering; Real-time computing; Database; Waste management; Engineering; Municipal solid waste; Computer security; World Wide Web; Automotive engineering","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":[0.0001423379,0.00005546426,0.00006845475,0.00003163766,0.0005509784,0.0003983922,0.0008671908,0.00001491868,0.000001248237],"category_scores_gemma":[0.000002626722,0.00004799556,0.00005740797,0.00001948267,0.0000187516,0.0002005196,0.0002603524,0.00002324611,0.00002595611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002423525,"about_ca_system_score_gemma":0.000007234796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008541012,"about_ca_topic_score_gemma":0.00001637786,"domain_scores_codex":[0.9995031,0.000006141867,0.00008609473,0.0001932163,0.00009111897,0.0001203716],"domain_scores_gemma":[0.9989948,0.00001960051,0.00005401098,0.0008583152,0.0000390696,0.00003422332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002345869,0.0000146741,0.0003371214,0.00007633419,0.00002577931,0.000001660373,0.00003737583,0.00001003877,0.00005630252,0.9693588,0.002355091,0.02772449],"study_design_scores_gemma":[0.004142446,0.0002449981,0.008703773,0.0004334436,0.0001632987,0.00005735516,0.004008377,0.6027181,0.005334877,0.0331724,0.3393137,0.001707192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002891383,0.00001849184,0.9314394,0.000559859,0.0002196184,0.0003225549,0.000002911651,0.0001778982,0.06436787],"genre_scores_gemma":[0.9746954,0.000002779341,0.01003709,0.0001046657,0.00006146417,0.0003191083,0.00000102255,0.000002914823,0.01477553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971804,"threshold_uncertainty_score":0.4237736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311365664725578,"score_gpt":0.2469091313317942,"score_spread":0.2137954746845384,"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."}}