{"id":"W4378714721","doi":"10.1016/j.gecco.2023.e02530","title":"Persistent soil organic carbon deficits from converting primary forests to plantations and secondary forests in subtropical China","year":2023,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Soil carbon; Environmental science; Topsoil; Subsoil; Total organic carbon; Secondary forest; Tropical and subtropical moist broadleaf forests; Old-growth forest; Biomass (ecology); Soil organic matter; Subtropics; Agroforestry; Forestry; Agronomy; Soil science; Soil water; Ecology; Environmental chemistry; Chemistry; Geography; Biology","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":[0.0002622916,0.0004428329,0.0003762109,0.0008423276,0.0005514325,0.0004832032,0.0002873358,0.0002278225,0.000405718],"category_scores_gemma":[0.0003191342,0.0002257263,0.0004028858,0.001001301,0.0005501098,0.0003271162,0.0005709088,0.0002088785,0.00004832573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000888592,"about_ca_system_score_gemma":0.0007921695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05100018,"about_ca_topic_score_gemma":0.0990378,"domain_scores_codex":[0.9998438,0.00001185632,0.00001844065,0.0000499386,0.00002924053,0.0000466898],"domain_scores_gemma":[0.9997601,0.0000177488,0.00007469882,0.00001692574,0.00004266757,0.00008788906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001861502,0.00004747748,0.9753832,0.0000527962,0.0001394932,0.0005900733,0.001117011,0.0002251675,0.0169996,0.00004895324,0.00007467204,0.005135341],"study_design_scores_gemma":[0.000001391527,0.00000897567,0.999564,0.00000101237,0.000008156828,0.00003514341,0.0001779539,0.00006293537,0.00009607065,0.00001073421,0.00003188308,0.000001797613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998125,0.00004272013,0.00001566087,0.000008919298,9.174925e-7,0.000002020538,0.00004701909,0.000001230352,0.0000688725],"genre_scores_gemma":[0.9996722,0.00004348019,0.00002335449,0.00001482044,0.000001785066,0.000003315971,0.0001645374,6.23851e-7,0.00007593472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05100018,"threshold_uncertainty_score":0.1014066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109046007113352,"score_gpt":0.2058993656630261,"score_spread":0.1949947649516909,"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."}}