{"id":"W1976793776","doi":"10.1016/j.envpol.2012.07.015","title":"The long-term impact of urbanization on nitrogen patterns and dynamics in Shanghai, China","year":2012,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; National Science Foundation","keywords":"Nitrogen; Reactive nitrogen; Urbanization; Gross domestic product; Environmental science; Agriculture; Nutrient pollution; Biogeochemistry; Per capita; Environmental protection; Environmental chemistry; Ecology; Biology; Chemistry; Economics; Economic growth","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":[0.0002052778,0.000266517,0.0001268673,0.000616821,0.0002553429,0.000383717,0.0001254177,0.0001462584,0.0004111436],"category_scores_gemma":[0.0002334922,0.0001103272,0.0002509697,0.0009996912,0.0003953004,0.0002849958,0.000371865,0.00009377264,0.00004892875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522547,"about_ca_system_score_gemma":0.0007747207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1130192,"about_ca_topic_score_gemma":0.1977618,"domain_scores_codex":[0.9999022,0.00002191944,0.000006843145,0.0000237696,0.00001497281,0.00003020901],"domain_scores_gemma":[0.9997835,0.0000303329,0.00008268213,0.00001433888,0.00003992432,0.00004929525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005980648,0.00001721596,0.9906619,0.00002298476,0.00006583452,0.0003317708,0.0004882278,0.002498316,0.00256131,0.0001707943,0.0001090692,0.003012769],"study_design_scores_gemma":[9.724334e-7,0.00001175663,0.9984493,0.000001330671,0.000009957214,0.00001862912,0.0002072966,0.001058807,0.0001067082,0.00002091223,0.0001119203,0.000002348226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996713,0.00005122354,0.00004792821,0.00001860317,9.228471e-7,7.05418e-7,0.00007035134,0.000002708774,0.0001360529],"genre_scores_gemma":[0.9997222,0.00005383086,0.000032619,0.000003682866,0.000001370429,0.00000100157,0.0001045338,6.588472e-7,0.0000800404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130192,"threshold_uncertainty_score":0.2247226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004198227072961876,"score_gpt":0.2049156778650531,"score_spread":0.2007174507920912,"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."}}