{"id":"W2289395722","doi":"10.1007/s11368-016-1352-2","title":"Leaf resorption efficiency in relation to foliar and soil nutrient concentrations and stoichiometry of Cunninghamia lanceolata with stand development in southern China","year":2016,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Cunninghamia; Resorption; Nutrient; Phosphorus; Soil nutrients; Agronomy; Litter; Chemistry; Botany; Animal science; Biology; 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":[0.0002988532,0.0003140539,0.0003615423,0.001521706,0.0006965157,0.0004273594,0.0006070704,0.0002781492,0.0005457779],"category_scores_gemma":[0.0002703616,0.0004023331,0.0002737749,0.000967485,0.0005255786,0.0004250841,0.0005307655,0.0003108282,0.0001161888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195029,"about_ca_system_score_gemma":0.0008162537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06268841,"about_ca_topic_score_gemma":0.1561609,"domain_scores_codex":[0.9998204,0.00001941192,0.00001817775,0.0000793217,0.00002922187,0.00003348356],"domain_scores_gemma":[0.9994072,0.00009983134,0.0001662795,0.00003065457,0.0001302658,0.0001657528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000440924,0.0001061174,0.8244976,0.00007918792,0.0001466493,0.0003438592,0.001916482,0.0004648685,0.164489,0.0002110444,0.0001009138,0.007203232],"study_design_scores_gemma":[0.000003259534,0.00002138286,0.9988499,0.000001206433,0.00001279413,0.00004317714,0.0001951537,0.0002642238,0.0005104869,0.00001838278,0.00007540842,0.000004662931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997446,0.00004692872,0.00002210532,0.000004185097,3.55702e-7,0.000001248025,0.00004279262,0.000002069573,0.0001356385],"genre_scores_gemma":[0.9994135,0.000028183,0.0000477209,0.00001068594,8.457258e-7,0.000004785559,0.0001441362,0.000002185371,0.0003479474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06268841,"threshold_uncertainty_score":0.124647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009828406434026566,"score_gpt":0.2114834245930643,"score_spread":0.2016550181590377,"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."}}