{"id":"W4391108813","doi":"10.1111/gcb.17131","title":"Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems","year":2024,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Environmental science; Eddy covariance; Wetland; Boreal; FluxNet; Ecosystem; Atmospheric sciences; Biome; Temperate climate; Climatology; Climate change; Ecology","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":[0.0004287372,0.0001967649,0.0001152777,0.0003931035,0.0002257829,0.0003127383,0.0001962962,0.0002036057,0.000398263],"category_scores_gemma":[0.0005407244,0.00009823195,0.0002428484,0.0003473606,0.0001905201,0.0003783792,0.0002391901,0.0001802778,0.00005916796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178313,"about_ca_system_score_gemma":0.0001929416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090667,"about_ca_topic_score_gemma":0.03688638,"domain_scores_codex":[0.9998913,0.00001884065,0.000008091988,0.00004045562,0.00001455523,0.00002676905],"domain_scores_gemma":[0.9997498,0.00003439033,0.000106224,0.00001953687,0.00005082154,0.00003930908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008689327,0.00003195805,0.9846122,0.00002034825,0.00006638757,0.00006902248,0.0001112644,0.003117804,0.004794511,0.0000685501,0.0002506461,0.006770422],"study_design_scores_gemma":[0.000001468516,0.00001279271,0.9950589,0.00000248403,0.00001126883,0.00002634934,0.00006943662,0.004273813,0.0002914625,0.00002770466,0.000220603,0.000003869061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999328,0.0000511448,0.0002165362,0.00002288871,0.000004408307,0.000001158459,0.0002223611,0.00001345817,0.0001401138],"genre_scores_gemma":[0.9993894,0.00002437044,0.0002308821,0.000008536054,0.000005344355,0.000001847735,0.0002924443,0.000002233488,0.00004496085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02090667,"threshold_uncertainty_score":0.04156995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173658384233134,"score_gpt":0.262464404303374,"score_spread":0.2407278204610427,"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."}}