{"id":"W4406821314","doi":"10.1016/j.bamboo.2025.100126","title":"Bamboo forests in Anji, China: An emerging nature-based solution to tackle climate change","year":2025,"lang":"en","type":"article","venue":"Advances in Bamboo Science","topic":"Bamboo properties and applications","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Zhejiang A and F University; China Scholarship Council","keywords":"Bamboo; China; Climate change; Agroforestry; Geography; Environmental science; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000620494,0.0001542554,0.0001682736,0.0001172636,0.0004391168,0.00009651499,0.0007308628,0.00008301507,0.00002826888],"category_scores_gemma":[0.00007292507,0.00007333052,0.00003375926,0.002691204,0.0002218641,0.001180103,0.0001907719,0.0002215365,0.0000137937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118756,"about_ca_system_score_gemma":0.00002765002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000380124,"about_ca_topic_score_gemma":0.01105365,"domain_scores_codex":[0.9981687,0.00003729904,0.0002620184,0.0006375043,0.0002668753,0.0006275675],"domain_scores_gemma":[0.9995589,0.00005241843,0.00006203214,0.0001551361,0.00006042388,0.000111067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008383234,0.0003515707,0.2161402,0.00003614909,0.0000010562,0.000005056925,0.0004837297,0.001485884,0.1468932,0.02164354,0.00005927367,0.6128165],"study_design_scores_gemma":[0.0001895281,0.0001734334,0.9670918,0.0001953098,0.000002359372,8.821228e-7,0.0003872344,0.01058315,0.006076359,0.002606381,0.01240271,0.000290872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909624,0.001021051,0.00009633202,0.004635756,0.0002608917,0.0005254849,0.0000150689,0.00006402217,0.002419014],"genre_scores_gemma":[0.9971629,0.0002180062,0.0008497053,0.001424489,0.00007546355,0.000226239,0.000009973823,0.000001160152,0.00003201778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7509515,"threshold_uncertainty_score":0.6168194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767113182599274,"score_gpt":0.3110565577554017,"score_spread":0.293385425929409,"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."}}