{"id":"W2372350192","doi":"","title":"Urban sprawl and its intrinsic characteristics of cantonal Suzhou from 1984 to 2003.","year":2006,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Urban sprawl; Urbanization; Geography; China; Per capita; Industrialisation; Urban climate; Land use; Consumption (sociology); Agricultural economics; Socioeconomics; Economic growth; Population; Political science; Archaeology; Demography; Ecology; Economics","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":[0.0000669764,0.00008287127,0.0001501443,0.00004664009,0.00004344455,0.00002992812,0.00005616413,0.00004058272,0.0009026274],"category_scores_gemma":[0.00003324213,0.00006071617,0.00001372001,0.0001601147,0.0000196764,0.00004659871,0.000006106029,0.0000513584,0.0001319347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001372421,"about_ca_system_score_gemma":0.00003455726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03957108,"about_ca_topic_score_gemma":0.0125491,"domain_scores_codex":[0.9993827,0.00002071017,0.0001641917,0.0001510962,0.0001262038,0.0001550358],"domain_scores_gemma":[0.9996718,0.0000482786,0.00003973987,0.00008521094,0.00005749712,0.00009745322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005502395,0.00001532507,0.9057661,0.00000739914,0.00001203131,0.00001929623,0.0001050768,0.00002505603,0.0003202031,0.0001231849,0.01943805,0.07411331],"study_design_scores_gemma":[0.0001210559,0.0000499647,0.9750558,0.00001106996,0.000009044482,0.000003902889,0.00001454407,0.00233021,0.000634015,0.00004299466,0.02163123,0.00009620491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893353,0.0002454829,0.00002611815,0.0001673415,0.0001983311,0.00005973327,0.000197597,0.00001917501,0.009750937],"genre_scores_gemma":[0.9965039,0.00002458616,0.0008725973,0.0001948082,0.000228041,2.029759e-8,0.0001600913,0.000002039465,0.002013879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0740171,"threshold_uncertainty_score":0.9883137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184518610119778,"score_gpt":0.178970222518349,"score_spread":0.1717857039082292,"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."}}