{"id":"W4293581656","doi":"10.1016/j.scs.2022.104157","title":"Scaling law reveals unbalanced urban development in China","year":2022,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; East China Normal University; Sun Yat-sen University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"China; Scaling law; Scaling; Development (topology); Economic geography; Political science; Geography; Law; Mathematics; Geometry","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":[0.000588251,0.0001716317,0.0005307326,0.001610373,0.0006947069,0.0008630876,0.0006514991,0.000357767,0.00243941],"category_scores_gemma":[0.003074639,0.0002061188,0.0003050039,0.002086134,0.0009792855,0.0008988634,0.0006649386,0.0002751052,0.0001261852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002795291,"about_ca_system_score_gemma":0.001189931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08095684,"about_ca_topic_score_gemma":0.0492352,"domain_scores_codex":[0.9997446,0.00004804078,0.000009423341,0.00006232283,0.00004751071,0.00008802626],"domain_scores_gemma":[0.9983896,0.0004981085,0.0003015395,0.0001958476,0.0004183202,0.0001965172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002651655,0.0001011214,0.6319054,0.00009089557,0.0001144515,0.001680888,0.001497175,0.1810419,0.002852543,0.1432373,0.00958648,0.02762669],"study_design_scores_gemma":[0.00001719432,0.00003025019,0.4566049,0.00001217029,0.00003603096,0.0001492303,0.001132393,0.4933057,0.0002997432,0.04625292,0.002116023,0.00004345708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995025,0.00009931116,0.001633345,0.0003296227,0.000004337688,0.000005889715,0.0002220805,0.00003863375,0.002641666],"genre_scores_gemma":[0.9996545,0.00002296054,0.00006765032,0.00000704677,0.000003100134,0.00000201685,0.0000657869,0.000003459987,0.0001733722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08095684,"threshold_uncertainty_score":0.1609712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019376695345444,"score_gpt":0.1847079852921459,"score_spread":0.1745142183386915,"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."}}