{"id":"W2154871095","doi":"10.1093/forestry/cpt003","title":"Differences in fine root traits between early and late-successional tree species in a Chinese subtropical forest","year":2013,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Biomass (ecology); Biology; Tropical and subtropical moist broadleaf forests; Subtropics; Botany; Specific leaf area; Nutrient; Competition (biology); Agronomy; Ecology; Photosynthesis","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":[0.0001698595,0.000287094,0.0002168829,0.0008159924,0.0004519577,0.000205525,0.0001654097,0.0001526227,0.0005092623],"category_scores_gemma":[0.0001527642,0.0001167827,0.0002024716,0.000518579,0.0002470326,0.0002202388,0.0002042156,0.00009645496,0.00008568419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433843,"about_ca_system_score_gemma":0.0001860555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935554,"about_ca_topic_score_gemma":0.06156416,"domain_scores_codex":[0.9999094,0.000009539103,0.000009035542,0.00003237968,0.00001533249,0.00002426977],"domain_scores_gemma":[0.9998546,0.0000192199,0.00003853304,0.00001126318,0.00002888128,0.00004761868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001403765,0.00006422284,0.9430017,0.00006087419,0.00009221493,0.0003202713,0.001251731,0.0001667193,0.04739188,0.00005728261,0.00004487802,0.007407907],"study_design_scores_gemma":[9.974641e-7,0.0000181153,0.9995108,7.57694e-7,0.000005648961,0.00003778856,0.0001647952,0.00007821836,0.0001338938,0.000006726238,0.00004058,0.000001608744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998106,0.00003793807,0.00003092805,0.000002858423,4.89249e-7,0.00000130324,0.00002300046,0.000001029546,0.0000919181],"genre_scores_gemma":[0.9997144,0.00002943878,0.00005755524,0.000007199116,0.000001160411,0.000002069268,0.00007837379,5.995296e-7,0.0001091007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01935554,"threshold_uncertainty_score":0.03848577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857633230529065,"score_gpt":0.3143224806029143,"score_spread":0.2657461482976237,"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."}}