{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002813576,0.0003982119,0.0002972919,0.001816621,0.0004854302,0.0003422192,0.0002615015,0.0002122056,0.0003867635],"category_scores_gemma":[0.0002097813,0.0002462768,0.0002800005,0.001209815,0.0003748519,0.0002546745,0.0003746874,0.00009135791,0.00005075892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007789744,"about_ca_system_score_gemma":0.0004699281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03495872,"about_ca_topic_score_gemma":0.07098766,"domain_scores_codex":[0.9998846,0.00001204688,0.00001474211,0.00003418059,0.00002342618,0.00003086304],"domain_scores_gemma":[0.9998087,0.00002183615,0.00005230398,0.0000108208,0.00004412656,0.00006225953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002717144,0.00005765101,0.9673798,0.00006217216,0.000113297,0.0004903421,0.001012962,0.00051909,0.02373195,0.00005811996,0.00005336939,0.006249414],"study_design_scores_gemma":[0.000004531939,0.00001564195,0.999099,0.000001782488,0.0000101596,0.00004761207,0.0002211427,0.0002979588,0.0002242262,0.00001332005,0.00006142321,0.000003148035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998549,0.00002607111,0.00001733897,0.000002681999,3.510392e-7,0.000001446415,0.00003984064,0.000001115171,0.00005614103],"genre_scores_gemma":[0.9995558,0.0000407517,0.00005938657,0.000006220529,0.000001217217,0.000005187265,0.0002143638,6.043105e-7,0.0001165386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03495872,"threshold_uncertainty_score":0.06951046,"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."}}