{"id":"W1985391856","doi":"10.1016/j.jenvman.2006.08.015","title":"Assessing the impact of urbanization on regional net primary productivity in Jiangyin County, China","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Primary production; Urbanization; Land cover; Environmental science; Land use; Boreal ecosystem; Land use, land-use change and forestry; Ecosystem; Productivity; Physical geography; Delta; China; Geography; Forestry; Taiga; Hydrology (agriculture); Ecology","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":[0.001172662,0.0001194956,0.0001640706,0.00007806142,0.00007006712,0.00002812641,0.0002370199,0.00003101679,0.0003072015],"category_scores_gemma":[0.000003222603,0.00007153521,0.0000907572,0.0001655229,0.00003731858,0.0004922926,0.000125818,0.0001302987,0.00001953243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006672376,"about_ca_system_score_gemma":0.000004379082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009037032,"about_ca_topic_score_gemma":0.00002374859,"domain_scores_codex":[0.9986816,0.00006196782,0.0004079433,0.0001433859,0.0005208798,0.0001842033],"domain_scores_gemma":[0.9993125,0.00003330058,0.0004269802,0.0001777917,0.000001699286,0.00004769755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001199784,0.001014489,0.944119,0.00004115732,0.00008558264,0.00006547917,0.0003382392,0.03789059,0.004447953,0.00002710203,0.001245454,0.01060503],"study_design_scores_gemma":[0.0004023423,0.0001778844,0.9978784,0.00006415489,0.00001955302,0.00002306982,0.0001744713,0.0002035559,0.0002364307,0.0002136703,0.0005276582,0.00007886442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993237,0.00007466845,0.0001306244,0.0001741904,0.00007955411,0.000201619,0.000002577194,0.000002424646,0.006097306],"genre_scores_gemma":[0.9995041,0.00008867399,0.0001765038,0.00007663161,0.00008270398,0.00000119522,0.000003866538,0.000009565344,0.00005673818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0537594,"threshold_uncertainty_score":0.3363641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008781138410782654,"score_gpt":0.2425354284326805,"score_spread":0.2337542900218978,"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."}}