{"id":"W3091600261","doi":"10.1111/nph.16977","title":"Multiple processes contribute to methane emission in a riparian cottonwood forest ecosystem","year":2020,"lang":"en","type":"article","venue":"New Phytologist","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Advanced Education, Government of Alberta; Canada Foundation for Innovation; ConocoPhillips","keywords":"Methane; Environmental science; Eddy covariance; Riparian zone; Biogeochemical cycle; Ecosystem; Atmospheric methane; Soil water; Forest ecology; Riparian forest; Hydrology (agriculture); Environmental chemistry; Soil science; Ecology; Atmospheric sciences; Chemistry; Geology; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001884362,0.0002687023,0.0001884644,0.0004860247,0.0003702736,0.0004675885,0.0001777506,0.0001561548,0.000463079],"category_scores_gemma":[0.0002264227,0.000170457,0.0001938956,0.0003198308,0.0002261746,0.0002661851,0.0003018838,0.0001274681,0.00006842789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004256331,"about_ca_system_score_gemma":0.0003458041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409515,"about_ca_topic_score_gemma":0.02229256,"domain_scores_codex":[0.9999286,0.00001168138,0.000003771945,0.00002177851,0.00001260301,0.00002144261],"domain_scores_gemma":[0.9998469,0.00005786194,0.00002843154,0.000007585377,0.00002718004,0.00003196476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002061909,0.00004667446,0.847857,0.00008303864,0.00009821663,0.0006767977,0.0002298813,0.004320413,0.1343754,0.0002626855,0.00005314371,0.0117906],"study_design_scores_gemma":[0.000004353148,0.00004092984,0.9872012,0.000004941671,0.00003793736,0.0001077597,0.0002113068,0.008926413,0.003101955,0.0001868718,0.0001670053,0.0000092897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993331,0.00007217714,0.000286411,0.00001292966,4.609814e-7,0.000003253469,0.00003403959,0.000006004919,0.0002515948],"genre_scores_gemma":[0.9995154,0.00006510324,0.0002589424,0.000004946621,0.000001296642,0.000002990522,0.00005420078,0.000001893058,0.00009517796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409515,"threshold_uncertainty_score":0.02802622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519217073599161,"score_gpt":0.227780816616366,"score_spread":0.2125886458803744,"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."}}