{"id":"W2407477887","doi":"10.1061/9780784479827.133","title":"Visualizing and Analyzing Urban Energy Consumption: A Critical Review and Case Study","year":2016,"lang":"en","type":"review","venue":"Construction Research Congress 2016","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University; U.S. Department of Energy","keywords":"CityGML; Energy consumption; Computer science; Energy modeling; Geographic information system; Sustainability; Efficient energy use; Energy (signal processing); Population; Consumption (sociology); Environmental economics; Engineering; Data mining; Visualization; Remote sensing; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.0009341025,0.0003631554,0.001045995,0.000539629,0.0003766603,0.000191685,0.0001473804,0.0002678574,0.0002051844],"category_scores_gemma":[0.0002387582,0.0002819188,0.00009038806,0.0003589691,0.0006414072,0.0002772166,0.0001864159,0.0004932338,0.000007528826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032652,"about_ca_system_score_gemma":0.0001146178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002513388,"about_ca_topic_score_gemma":0.00001241266,"domain_scores_codex":[0.9975042,0.0006284145,0.0005927219,0.0005350141,0.0003028658,0.0004367728],"domain_scores_gemma":[0.9981902,0.0007998231,0.00008264401,0.0004016427,0.0002715769,0.0002540979],"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":[0.000001832618,0.00001629962,0.00004329384,0.01816267,0.0002284743,0.000391638,0.00001510576,0.00000230647,2.431778e-7,0.00483548,0.001726917,0.9745758],"study_design_scores_gemma":[0.0003878171,0.00008152426,7.555084e-7,0.05407613,0.0008186359,0.01055481,0.00009694682,0.0004592897,0.000001180582,0.00009930373,0.9327682,0.0006554067],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002452217,0.9970647,0.001474894,0.00002185137,0.000482432,0.0004770897,0.00002847706,0.000171644,0.000254457],"genre_scores_gemma":[0.0003149073,0.9986277,0.0002520369,0.000008646715,0.0001760943,0.0002823788,0.00001024687,0.00006677229,0.0002611825],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9739203,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042076014491205,"score_gpt":0.4213632605685437,"score_spread":0.3171556591194232,"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."}}