{"id":"W4415363572","doi":"10.3724/j.issn.1000-3045.20250819005","title":"Goals of Kunming-Montreal Global Biodiversity Framework and solutions by China’s Biosphere Reserve Network","year":2025,"lang":"en","type":"article","venue":"Zhongguo Kexueyuan yuankan","topic":"Ecology, Conservation, and Geographical Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Biosphere; Measurement of biodiversity; Ecosystem services; Global biodiversity; Ecosystem; Population; Ecological footprint","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003732015,0.001080452,0.0003474515,0.001701936,0.002553709,0.003789972,0.002080105,0.002424795,0.01075516],"category_scores_gemma":[0.00297403,0.0003383094,0.0007150256,0.001373395,0.001365055,0.001852068,0.004344892,0.002419906,0.001408299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274798,"about_ca_system_score_gemma":0.06952249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3155714,"about_ca_topic_score_gemma":0.3335966,"domain_scores_codex":[0.9975561,0.0003952765,0.0001076065,0.0002296479,0.0010015,0.0007097581],"domain_scores_gemma":[0.9983343,0.00008791123,0.0001089822,0.0001116115,0.0007278058,0.0006294358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006029962,0.000112383,0.008068802,0.00088931,0.00007295515,0.0007327776,0.001714367,0.005514923,0.002528234,0.433405,0.4139799,0.132921],"study_design_scores_gemma":[0.00001398236,0.00002664481,0.009521267,0.0003346031,0.00001806722,0.0001056968,0.0004675659,0.001821479,0.0004460279,0.01560217,0.9715997,0.0000426774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03782592,0.04136101,0.04797222,0.1461302,0.007452249,0.003547843,0.01164273,0.001740099,0.7023277],"genre_scores_gemma":[0.3028973,0.01639596,0.1162684,0.03952038,0.0008102739,0.003906012,0.01538189,0.000513276,0.5043065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3155714,"threshold_uncertainty_score":0.6274691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006122417185913501,"score_gpt":0.2173075372300345,"score_spread":0.211185120044121,"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."}}