{"id":"W4240854917","doi":"10.5383/ijtee.12.01.001","title":"Building Eco-Cities of the Future: The Example of Masdar City","year":2015,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Masdar Institute of Science and Technology","keywords":"Engineering; Environmental planning; Smart city; Sustainable development; Environmental economics; Business; Environmental engineering; Civil engineering; Environmental science; Internet of Things; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004251676,0.0004310565,0.0001817654,0.0005918308,0.00819736,0.003157362,0.0005949816,0.001303977,0.004215476],"category_scores_gemma":[0.0003203694,0.0002020922,0.000342434,0.001004953,0.002877738,0.002664424,0.003682928,0.001559469,0.0005573914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002952341,"about_ca_system_score_gemma":0.002205342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068262,"about_ca_topic_score_gemma":0.07404518,"domain_scores_codex":[0.9995868,0.0001896553,0.000008236922,0.00003394907,0.00006670778,0.0001147489],"domain_scores_gemma":[0.9998488,0.00002181471,0.00001233053,0.00001801264,0.00004055209,0.0000585478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001879902,0.0001574377,0.00931329,0.0005586013,0.00003864854,0.0164475,0.05374905,0.005239663,0.001915779,0.807537,0.04730816,0.05754696],"study_design_scores_gemma":[0.00002481974,0.0000862766,0.005980727,0.0001659596,0.00003210182,0.00197525,0.05680303,0.002456534,0.0009443988,0.02422032,0.9072599,0.00005065849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4464618,0.005855232,0.008375618,0.02548434,0.0008611481,0.0001385939,0.0004505158,0.0002334622,0.5121393],"genre_scores_gemma":[0.9566131,0.003322019,0.00851442,0.0009478672,0.00008757569,0.00005105069,0.0001730921,0.00006779055,0.03022316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02068262,"threshold_uncertainty_score":0.04112446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00988444739135028,"score_gpt":0.1941272449858707,"score_spread":0.1842427975945204,"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."}}