{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001882226,0.0001961049,0.0000934175,0.00116447,0.0004383474,0.0003543475,0.0002300582,0.0001640539,0.0007884278],"category_scores_gemma":[0.0003966639,0.000112569,0.0001520877,0.001397471,0.0002023182,0.0002128859,0.0003491392,0.0001572118,0.0001364886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634807,"about_ca_system_score_gemma":0.0007112802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1932879,"about_ca_topic_score_gemma":0.4787193,"domain_scores_codex":[0.9999083,0.00001113566,0.000008068484,0.00001871622,0.00002529584,0.0000283983],"domain_scores_gemma":[0.9996263,0.00002410887,0.0001472122,0.00001769861,0.0001115446,0.00007313714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085312,0.00001649817,0.9939361,0.00001312913,0.00002043207,0.0001414502,0.0008131218,0.0001092049,0.0006935559,0.00003494964,0.000488841,0.003624141],"study_design_scores_gemma":[3.915924e-7,0.000007051377,0.9994088,7.591586e-7,0.00000247384,0.000016982,0.0002260491,0.00006989597,0.00004259189,0.00000219129,0.0002215898,0.000001168522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987566,0.00006475226,0.00002682413,0.00003170763,0.00000288534,0.000004463485,0.0007263953,0.000003435149,0.0003829384],"genre_scores_gemma":[0.9981728,0.00005009305,0.00004967034,0.000005106986,0.000003487947,0.000008002644,0.001281045,0.000001100523,0.0004288166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932879,"threshold_uncertainty_score":0.3843256,"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."}}