{"id":"W2339497379","doi":"","title":"Leaf litter decomposition of four tree species in subtropical China.","year":2010,"lang":"en","type":"article","venue":"Zhejiang Linxueyuan xuebao","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pinus massoniana; Evergreen; Litter; Botany; Plant litter; Tropical and subtropical moist broadleaf forests; Horticulture; Dry weight; Subtropics; Biology; Animal science; Ecosystem; Agronomy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005856928,0.0001466239,0.0002810535,0.0001785364,0.0002434141,0.0000548031,0.0003763139,0.0003208577,0.0006406454],"category_scores_gemma":[0.0002488256,0.0001406625,0.0001151781,0.0002798097,0.0004768787,0.0002362278,0.00004493083,0.0005340163,0.0001298377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004999543,"about_ca_system_score_gemma":0.0001149937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594252,"about_ca_topic_score_gemma":0.1074692,"domain_scores_codex":[0.9985004,0.0001733205,0.0003375342,0.0002611137,0.0002897302,0.000437874],"domain_scores_gemma":[0.9992048,0.0002623834,0.0001209548,0.0002375965,0.00005062062,0.0001236908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103278,0.0002699286,0.856501,0.00003489036,0.00002797898,0.00008475455,0.01008665,0.00001482016,0.003325512,0.117551,0.008694516,0.003298644],"study_design_scores_gemma":[0.0004686615,0.00009080047,0.9507164,0.00003037301,0.00001541427,0.00001007937,0.0004711271,0.00009599483,0.000770818,0.008215524,0.0389065,0.0002082945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027038,0.00003429045,0.00002666307,0.003302996,0.001099383,0.0001734932,0.00001725516,0.00005686509,0.0925853],"genre_scores_gemma":[0.9939464,0.00005079925,0.0009248938,0.0001851369,0.0008464587,0.000009465532,0.00002332605,0.00001378365,0.003999725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093355,"threshold_uncertainty_score":0.9088171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997089342090276,"score_gpt":0.2945149069394824,"score_spread":0.2745440135185797,"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."}}