{"id":"W4281567204","doi":"10.1186/s13021-022-00204-y","title":"Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060","year":2022,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Forestry and Grassland Administration","keywords":"Evergreen; Primary production; Environmental science; Deciduous; Carbon sequestration; Subtropics; Climate change; Agroforestry; Ecosystem; Forest ecology; Tropical and subtropical moist broadleaf forests; Forest management; Forestry; Ecology; Geography; Carbon dioxide; 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":[0.000311586,0.0005295383,0.0001586666,0.0002872076,0.0002582567,0.0004359723,0.0004033349,0.0003475825,0.000833683],"category_scores_gemma":[0.0002910907,0.0001617292,0.0005609692,0.0003751937,0.0002396631,0.0004208586,0.0001904811,0.0002358525,0.0001054768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129037,"about_ca_system_score_gemma":0.0008633832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0600655,"about_ca_topic_score_gemma":0.05547064,"domain_scores_codex":[0.9999436,0.000007115545,0.000003636858,0.00001670464,0.00001109916,0.00001776939],"domain_scores_gemma":[0.9998882,0.00002454456,0.00001894361,0.0000105591,0.00003604237,0.00002169643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001383753,0.0000633799,0.3808138,0.00006668764,0.0001427708,0.0002363921,0.00007719923,0.6026716,0.005651964,0.0005831015,0.0008491345,0.008705621],"study_design_scores_gemma":[0.00002314344,0.00005684673,0.2319032,0.00001256732,0.0000663353,0.00005831703,0.0001054856,0.7646297,0.00188021,0.00053708,0.0007064653,0.00002057761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997788,0.00009594459,0.0007539724,0.00006232823,0.00000650949,0.000003973722,0.0005058971,0.00004887349,0.0007345094],"genre_scores_gemma":[0.9993008,0.00003553184,0.0002283888,0.0000069681,0.000001447994,0.000003212859,0.0003191757,0.000002881483,0.0001014514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0600655,"threshold_uncertainty_score":0.1194318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00231038866208118,"score_gpt":0.1717672867567319,"score_spread":0.1694568980946507,"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."}}