{"id":"W4401521470","doi":"10.1002/lno.12653","title":"Aerenchyma in emergent plants and rhizospheric microbial communities promote methane fluxes in wetlands","year":2024,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Microbial metabolism and enzyme function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China","keywords":"Aerenchyma; Rhizosphere; Wetland; Scirpus; Microbial population biology; Nutrient; Canna; Microorganism; Botany; Biology; Environmental science; Environmental chemistry; Ecology; Bacteria; Chemistry","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":[0.0001388354,0.0004552078,0.0003288823,0.0002680902,0.0003189909,0.0003875964,0.0002031825,0.0002171674,0.0004368673],"category_scores_gemma":[0.0000952155,0.0001381473,0.0002879932,0.0001466761,0.0002190422,0.0002497149,0.0003584078,0.0004348713,0.00007553412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003535827,"about_ca_system_score_gemma":0.0003079538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003888218,"about_ca_topic_score_gemma":0.003714638,"domain_scores_codex":[0.999917,0.00001088435,0.000005728057,0.00002645839,0.00001123067,0.00002873618],"domain_scores_gemma":[0.9997811,0.0000199642,0.00004924782,0.00001493194,0.00004642475,0.00008829484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001755075,0.00005070727,0.003031733,0.00004739116,0.00001387087,0.00004484167,0.00005405385,0.00008537416,0.9953164,0.00002170495,0.0000189085,0.001139531],"study_design_scores_gemma":[0.00004093272,0.001592832,0.6449271,0.00002560276,0.0001165112,0.0002065481,0.0009172019,0.004997317,0.3444633,0.0001975147,0.00247105,0.00004410297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994918,0.0001024252,0.0001726891,0.00001382689,0.000002891289,0.000004079802,0.00005123632,0.00001015149,0.0001509454],"genre_scores_gemma":[0.9990639,0.00006508482,0.0004079935,0.0000198299,0.000002680099,0.00000667364,0.0001070793,0.000003485003,0.0003232462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003888218,"threshold_uncertainty_score":0.007731199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0070926270523378,"score_gpt":0.2157211571136869,"score_spread":0.2086285300613492,"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."}}