{"id":"W2058563536","doi":"10.1080/13549839.2012.660909","title":"Greenhouse gas emissions from cities: comparison of international inventory frameworks","year":2012,"lang":"en","type":"article","venue":"Local Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Climate change; Upstream (networking); Transparency (behavior); Terminology; Business; Emission inventory; Environmental resource management; Environmental economics; Environmental science; Natural resource economics; Environmental planning; Economics; Political science; Geography; Computer science; Air quality index","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02593097,0.0009794622,0.0007300698,0.009619123,0.001482089,0.006673178,0.002395534,0.0006239917,0.00161543],"category_scores_gemma":[0.02228502,0.0007998297,0.001843601,0.0150014,0.001909594,0.005791007,0.003628776,0.001286809,0.0002193707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01411029,"about_ca_system_score_gemma":0.0105506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.077216,"about_ca_topic_score_gemma":0.04952841,"domain_scores_codex":[0.9889117,0.003216262,0.00138334,0.0006432752,0.004982704,0.0008627336],"domain_scores_gemma":[0.9821943,0.00657043,0.001908231,0.002661073,0.006321686,0.0003442303],"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":[0.001061979,0.0003782464,0.1170774,0.001907968,0.0006932609,0.0003547944,0.0062522,0.2170014,0.002228202,0.3745445,0.01527211,0.2632279],"study_design_scores_gemma":[0.0002974325,0.0009255343,0.3682092,0.002852971,0.001367083,0.0006217617,0.03529107,0.2433412,0.01976248,0.0849624,0.2414879,0.0008808345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5932867,0.008727229,0.1063619,0.003339394,0.0003465817,0.002054212,0.01791347,0.001564811,0.2664058],"genre_scores_gemma":[0.8945339,0.009376314,0.06933296,0.0002993549,0.00007705056,0.001715692,0.01855655,0.0005347665,0.005573384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.077216,"threshold_uncertainty_score":0.1535331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136595621832573,"score_gpt":0.2605686086417508,"score_spread":0.2469090464584935,"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."}}