{"id":"W4415004656","doi":"10.1088/1748-9326/ae1150","title":"Bridging conservation and policy: evaluating national targets to reduce mangrove loss under the Kunming–Montreal biodiversity framework","year":2025,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BirdLife International; Asian Development Bank","keywords":"Mangrove; Biodiversity; Ecosystem services; Ecosystem; Biodiversity hotspot; Habitat destruction; Geospatial analysis; Wetland","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":[0.03338252,0.001269788,0.0006497657,0.002444775,0.001277726,0.004990751,0.001729991,0.001414467,0.004221954],"category_scores_gemma":[0.03825576,0.0003223047,0.001010392,0.002653306,0.002543717,0.003049106,0.003496862,0.001697374,0.0002220479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0366272,"about_ca_system_score_gemma":0.03652661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3530162,"about_ca_topic_score_gemma":0.3216095,"domain_scores_codex":[0.9825006,0.0103275,0.0004507838,0.000654895,0.003454833,0.002611421],"domain_scores_gemma":[0.9797078,0.007542352,0.002682518,0.0008309914,0.006584707,0.002651584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.004315332,0.002844361,0.2099181,0.003049195,0.002083424,0.0004951645,0.00299416,0.4155318,0.002740926,0.185894,0.02764007,0.1424934],"study_design_scores_gemma":[0.002041796,0.006923878,0.4835717,0.003703103,0.002726332,0.000101119,0.01335581,0.3446919,0.007486418,0.05554554,0.07944758,0.0004048837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8494718,0.003381189,0.01279563,0.01123605,0.0002276919,0.005052567,0.007029887,0.0002197073,0.1105855],"genre_scores_gemma":[0.9849823,0.0005600931,0.009771519,0.0009521183,0.00002355405,0.001544969,0.001262532,0.00002403938,0.0008788331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3530162,"threshold_uncertainty_score":0.7019228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825029533445916,"score_gpt":0.3289468107997927,"score_spread":0.3006965154653335,"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."}}