{"id":"W4411891030","doi":"10.33424/futurum593","title":"Wetlands in a changing world: the climate benefits of wetlands","year":2025,"lang":"en","type":"article","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Climate change; Environmental resource management; Environmental science; Geography; Environmental planning; Water resource management; Ecology; Geology; Oceanography","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":[0.0005270952,0.0001852476,0.0002006095,0.0004231405,0.001543008,0.001975882,0.000207363,0.001128755,0.00783942],"category_scores_gemma":[0.001548469,0.00006573118,0.0002193228,0.0006561349,0.001196087,0.002972273,0.00136468,0.001330541,0.0002523284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322126,"about_ca_system_score_gemma":0.00109972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024747,"about_ca_topic_score_gemma":0.05234171,"domain_scores_codex":[0.9997666,0.00008629925,0.000004294423,0.0000163446,0.00005438768,0.00007211212],"domain_scores_gemma":[0.9991793,0.0001974271,0.00006210793,0.00002212093,0.0001449946,0.0003941664],"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":[0.0004720905,0.0003884603,0.06770316,0.0007345089,0.0002191231,0.001763886,0.004651308,0.002778496,0.003038696,0.1272543,0.2371905,0.5538055],"study_design_scores_gemma":[0.00004832293,0.0002840484,0.2718287,0.0009604614,0.000121572,0.001941471,0.0195886,0.001296707,0.0007997947,0.1765811,0.5264314,0.0001178409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2439491,0.09229841,0.001869881,0.5182582,0.002876794,0.00002249673,0.0006305341,0.00007679441,0.1400179],"genre_scores_gemma":[0.9351444,0.0395992,0.0009873018,0.01537074,0.001709478,0.00001182055,0.0001156823,0.00002087695,0.007040535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01024747,"threshold_uncertainty_score":0.02622545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008155576216547526,"score_gpt":0.2341614150346231,"score_spread":0.2260058388180756,"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."}}