{"id":"W2363498984","doi":"","title":"Litter biomass and its carbon and nitrogen storage in four subtropical forests in central Southern China","year":2012,"lang":"en","type":"article","venue":"Shengtaixue zazhi","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Pinus massoniana; Litter; Cunninghamia; Plant litter; Tropical and subtropical moist broadleaf forests; Biomass (ecology); Subtropics; Nitrogen; Animal science; Forestry; Environmental science; Biology; Agronomy; Ecology; Botany; Ecosystem; Chemistry; Geography","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":[0.0005877593,0.000153462,0.0002188514,0.0001324282,0.0001479213,0.00004090292,0.0001392744,0.0002535766,0.00003418595],"category_scores_gemma":[0.0001709134,0.0001432158,0.00003109048,0.00018177,0.0001857585,0.000200198,0.00006129393,0.0002825732,0.00001173749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009372635,"about_ca_system_score_gemma":0.0000648703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007053414,"about_ca_topic_score_gemma":0.07016359,"domain_scores_codex":[0.998306,0.0003113227,0.0001981756,0.0002343564,0.0001744764,0.0007757086],"domain_scores_gemma":[0.9994524,0.0001569626,0.00005007648,0.00009813724,0.00001237444,0.0002300388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002573597,0.00004313193,0.9750024,0.00002228343,0.000008023503,0.00003686019,0.02164207,0.0000015434,0.00002651145,0.002894662,0.00003486903,0.0002619197],"study_design_scores_gemma":[0.0005126316,0.00003678693,0.9924738,0.00002255936,0.000008777608,0.000009628948,0.001029699,0.0002621352,0.00002269762,0.004699524,0.0007393946,0.0001823669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948098,0.001230384,0.000001478038,0.0007288536,0.0003858417,0.0002536848,0.00002027641,0.0000309846,0.002538687],"genre_scores_gemma":[0.999218,0.00009708108,0.00002374109,0.00006289314,0.0003794469,0.00001301084,0.000005883465,0.000013688,0.0001862524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06311017,"threshold_uncertainty_score":0.9995587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560725106661965,"score_gpt":0.2535681420557462,"score_spread":0.2379608909891265,"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."}}