{"id":"W2162205756","doi":"10.1038/525179a","title":"Climate change: Track urban emissions on a human scale","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":212,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Carbon footprint; Climate change; Track (disk drive); Scale (ratio); Greenhouse gas; Environmental science; Urban climate; Footprint; Environmental resource management; Environmental planning; Geography; Urban planning; Engineering; Archaeology; Oceanography; Civil engineering; Cartography; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004290175,0.0000855555,0.000109884,0.00003600484,0.0004197535,0.00004828165,0.0002583384,0.0007361771,0.0002003075],"category_scores_gemma":[0.00005166935,0.00006928207,0.00006273089,0.0002406541,0.0001094989,0.00019843,0.0000138681,0.0009945147,0.00005456022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005522127,"about_ca_system_score_gemma":0.00005093518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002146849,"about_ca_topic_score_gemma":0.001879463,"domain_scores_codex":[0.9989495,0.00005746221,0.0001023411,0.0002192214,0.0003865561,0.0002849049],"domain_scores_gemma":[0.9994273,0.00001827221,0.0000424023,0.0001845249,0.00007634072,0.0002512281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006410824,0.0004274686,0.8308415,0.00002651978,0.000008443345,0.00002268943,0.04275549,4.117026e-7,0.0002136023,0.01968977,0.09939303,0.006556933],"study_design_scores_gemma":[0.000746506,0.0001094225,0.6479148,0.0001149844,0.00003357618,2.246783e-7,0.003547328,0.000006153577,0.0004797148,0.00960403,0.3370616,0.0003816861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600238,0.0003822324,3.653006e-7,0.003935093,0.0004248992,0.0001932481,0.00002447742,0.0001344266,0.1348815],"genre_scores_gemma":[0.9958599,0.000008708822,0.00004328204,0.000966522,0.0009420394,0.00001139978,0.00001859324,0.000008225304,0.002141362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2376686,"threshold_uncertainty_score":0.5678072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06939910597195016,"score_gpt":0.3841890135181076,"score_spread":0.3147899075461575,"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."}}