{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192529,0.0004642013,0.0003682707,0.001036734,0.0006364817,0.0007000703,0.0005796164,0.0003354624,0.0004620027],"category_scores_gemma":[0.001438344,0.0002931148,0.0006956059,0.001209432,0.0005853951,0.000462158,0.0007006383,0.0002704152,0.00006166495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003910013,"about_ca_system_score_gemma":0.00358658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2437504,"about_ca_topic_score_gemma":0.3823842,"domain_scores_codex":[0.9992765,0.0002239914,0.00005448297,0.0001244577,0.0001285975,0.000191999],"domain_scores_gemma":[0.9989372,0.0002755033,0.0002096512,0.00006128292,0.0002546451,0.0002616897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001066887,0.00004733804,0.9943041,0.00000942728,0.00009272811,0.000174395,0.0002423796,0.002607404,0.000539429,0.00007452996,0.0000722221,0.001729392],"study_design_scores_gemma":[0.00000465266,0.00003267437,0.9960975,0.000001499161,0.00003284013,0.00001681623,0.0004883372,0.003165692,0.00007805673,0.0000249744,0.00005339551,0.000003529125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997976,0.00001139596,0.00002751544,0.00001233181,7.55981e-7,0.000001912015,0.00005027206,0.000001308651,0.00009685676],"genre_scores_gemma":[0.9997857,0.00001346397,0.00003261855,0.000002670983,9.672573e-7,0.000002307125,0.0001062493,5.454428e-7,0.00005548778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2437504,"threshold_uncertainty_score":0.4846633,"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."}}