{"id":"W3141796333","doi":"","title":"Energy Efficient Cities : Assessment Tools and Benchmarking Practices","year":2010,"lang":"en","type":"article","venue":"World Bank Publications","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Urbanization; Business; Greenhouse gas; Energy security; Natural resource economics; Population; Efficient energy use; Urban planning; Environmental planning; Scope (computer science); Economic growth; Geography; Renewable energy; Economics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002235528,0.0001626722,0.0001385222,0.0003132491,0.0003801179,0.000294292,0.0001948787,0.00006103046,0.001435626],"category_scores_gemma":[0.00006775372,0.0001593747,0.00005299725,0.0004070126,0.0001787019,0.0004055546,0.00003799019,0.0002111165,0.00001251364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003106166,"about_ca_system_score_gemma":0.0000637016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116362,"about_ca_topic_score_gemma":0.01633932,"domain_scores_codex":[0.9987933,0.00004439492,0.0002997495,0.0003277215,0.0002639989,0.0002708186],"domain_scores_gemma":[0.9987071,0.000322336,0.0003224651,0.0004542632,0.00006254593,0.000131307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001744596,0.0001176742,0.006928687,0.000006542507,0.00003691498,4.937534e-7,0.0002507009,0.001639504,0.003076931,0.9773358,0.001282953,0.009322053],"study_design_scores_gemma":[0.0001753548,0.00001076688,0.2345351,0.000005499594,0.00003572906,0.000003399574,0.0001364026,0.001617472,0.000637197,0.001445627,0.7612141,0.0001833374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.411621,0.0002008642,0.002719564,0.01644552,0.0006576534,0.0001804279,0.00008301177,0.0003624697,0.5677295],"genre_scores_gemma":[0.9835892,0.0001131903,0.003931301,0.0006701497,0.0002485022,0.0002118043,0.0003057009,0.00002416977,0.01090593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9758902,"threshold_uncertainty_score":0.9994772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153476118357024,"score_gpt":0.2813915824960425,"score_spread":0.2598568213124722,"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."}}