{"id":"W3042747385","doi":"10.3390/en13143642","title":"Energy Strategies, the Urban Dimension, and Spatial Planning","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technische Universiteit Delft","keywords":"Urbanization; Urban planning; Urban metabolism; Urban density; Spatial planning; Environmental planning; Energy consumption; Efficient energy use; Dimension (graph theory); Urban climate; Urban agglomeration; Energy (signal processing); Energy transition; Energy planning; Environmental economics; Economic geography; Geography; Business; Environmental resource management; Civil engineering; Economic growth; Renewable energy; Environmental science; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001417624,0.000385149,0.0002288409,0.002028328,0.001963221,0.007098549,0.0005693978,0.0009552321,0.003667411],"category_scores_gemma":[0.001920404,0.0002026427,0.0002636513,0.003748058,0.01616716,0.003205633,0.00278546,0.0007031293,0.000234126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009607592,"about_ca_system_score_gemma":0.005214837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06412858,"about_ca_topic_score_gemma":0.08742832,"domain_scores_codex":[0.9984048,0.0009504968,0.00005188757,0.0001198659,0.0001954492,0.0002775402],"domain_scores_gemma":[0.9992632,0.0002976766,0.0001131571,0.00007264006,0.0001418503,0.0001113729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003607236,0.000006351427,0.002503688,0.00003386373,0.000007437172,0.00003179811,0.00202774,0.002506737,0.00003276718,0.9828991,0.0008362452,0.009110708],"study_design_scores_gemma":[0.000007931057,0.00003893419,0.0112668,0.0002558596,0.00002184829,0.0001125519,0.03019397,0.003792843,0.000278198,0.7892175,0.1647869,0.00002664801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.193239,0.01407214,0.03220568,0.03018318,0.0001277365,0.000134803,0.0002873318,0.0000666795,0.7296835],"genre_scores_gemma":[0.9863086,0.002384492,0.002939397,0.000279867,0.00001667398,0.00004337769,0.00004556003,0.00001026829,0.007971757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06412858,"threshold_uncertainty_score":0.1275106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407572049163436,"score_gpt":0.2695968200932746,"score_spread":0.2455210996016402,"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."}}