{"id":"W2748398614","doi":"10.1007/s10109-017-0258-x","title":"Modeling and simulating industrial land-use evolution in Shanghai, China","year":2017,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Ministry of Education of the People's Republic of China","keywords":"China; Geography; Economic geography; Land use; Regional science; Civil engineering; Engineering; Archaeology","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":[0.0004265554,0.000915131,0.0008013838,0.0008301871,0.0007584857,0.001209317,0.001070793,0.0009831219,0.001767949],"category_scores_gemma":[0.00073966,0.0005179242,0.0009209417,0.001397428,0.0007282034,0.0006786657,0.0005470073,0.0004534173,0.0001070568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003564323,"about_ca_system_score_gemma":0.003234461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4189516,"about_ca_topic_score_gemma":0.2903736,"domain_scores_codex":[0.9998657,0.00003118664,0.000007849152,0.00002588377,0.00001397278,0.00005547232],"domain_scores_gemma":[0.9996443,0.0001589249,0.0000302669,0.0000223477,0.00006781498,0.00007637613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004365318,0.0000522849,0.01346301,0.00001680041,0.00003181159,0.0001111754,0.00004009078,0.9844109,0.0003040848,0.0003801898,0.0001677099,0.0009783688],"study_design_scores_gemma":[0.00001657309,0.00002353827,0.005955559,0.000001755575,0.00002189534,0.000005071468,0.00008540435,0.9935087,0.0001564352,0.0001226277,0.00009573998,0.000006755148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977081,0.0000503705,0.0008314451,0.00006627395,0.000009398747,0.000007982245,0.0002819724,0.00003835225,0.001006248],"genre_scores_gemma":[0.9987063,0.00004139153,0.0003155574,0.000007002142,0.000002129145,0.000007995689,0.0002308722,0.00000947696,0.0006792467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4189516,"threshold_uncertainty_score":0.8330261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500081092829408,"score_gpt":0.2400383636320792,"score_spread":0.2150375527037851,"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."}}