{"id":"W1965083124","doi":"10.3390/en4010026","title":"Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Theil index; Per capita; Geography; Energy consumption; Beijing; Mainland China; Index (typography); China; Distribution (mathematics); Economic geography; Population; Demography","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":[0.0005749105,0.0002004151,0.0002048916,0.002583844,0.0003143684,0.0005891358,0.0002687061,0.0001276535,0.0006545085],"category_scores_gemma":[0.001255187,0.0001335858,0.0003849798,0.004607641,0.0003875921,0.0003290953,0.0006209234,0.0001038636,0.0001067872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105221,"about_ca_system_score_gemma":0.0005805818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03592486,"about_ca_topic_score_gemma":0.04127087,"domain_scores_codex":[0.9995433,0.00007753627,0.00005463595,0.0001123917,0.0001370215,0.00007513175],"domain_scores_gemma":[0.9991167,0.0002060853,0.0002590646,0.0001059416,0.000219006,0.00009313376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004590255,0.000007898306,0.9908573,0.00002585722,0.00006800066,0.00007535269,0.0005950129,0.001277035,0.0005907781,0.0003181893,0.0001456118,0.005993],"study_design_scores_gemma":[9.337039e-7,0.000007370589,0.9980405,0.000001913397,0.000008391043,0.00002900662,0.0003654546,0.001199262,0.00008328758,0.00005209236,0.0002076137,0.000004251972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988297,0.00005735948,0.0001550775,0.0000138957,8.553965e-7,0.000003248114,0.0004372041,0.000008720544,0.0004940503],"genre_scores_gemma":[0.9993619,0.00002490846,0.00006545011,0.000001602234,0.000001031953,0.000004011221,0.0004389646,0.000001390935,0.0001006605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03592486,"threshold_uncertainty_score":0.07143152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007885585612361828,"score_gpt":0.2424238253156471,"score_spread":0.2345382397032853,"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."}}