{"id":"W2013823340","doi":"10.1016/j.envpol.2015.03.039","title":"Estimating future energy use and CO2 emissions of the world's cities","year":2015,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Muscular Dystrophy Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Greenhouse gas; Geography; Environmental protection; Natural resource economics; Economics; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004830297,0.0007399938,0.0003000368,0.001134438,0.000381702,0.001077072,0.0005822262,0.0006779966,0.0008663393],"category_scores_gemma":[0.001344795,0.0004875673,0.001197398,0.002200672,0.0002075516,0.001118835,0.0004723244,0.000456605,0.000253015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104416,"about_ca_system_score_gemma":0.001237268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1695976,"about_ca_topic_score_gemma":0.1749111,"domain_scores_codex":[0.9998556,0.00002919307,0.00001250616,0.00004048347,0.00003126927,0.00003090503],"domain_scores_gemma":[0.9996319,0.0001456099,0.00004792906,0.0000419494,0.0001033271,0.00002929898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001254447,0.0000729256,0.37289,0.00007250965,0.0004663705,0.0001735448,0.00009531068,0.6072008,0.001122114,0.001356258,0.001270234,0.01515452],"study_design_scores_gemma":[0.00003544089,0.00004928605,0.3771592,0.00003473165,0.0003567064,0.0001131422,0.0009878682,0.6104129,0.003509612,0.002808096,0.004477637,0.00005538569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890681,0.0002509333,0.003842178,0.0002372053,0.00001508818,0.00001481626,0.004191575,0.00008363921,0.002296488],"genre_scores_gemma":[0.9929494,0.0003166176,0.002355001,0.00001614454,0.000009077757,0.00001538026,0.003436781,0.00001664031,0.0008849304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1695976,"threshold_uncertainty_score":0.3372208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088539440284595,"score_gpt":0.2166115288998247,"score_spread":0.2057261344969788,"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."}}