{"id":"W4400903893","doi":"10.2139/ssrn.4903461","title":"Foliar Methane and Nitrous Oxide Fluxes in Tropical Forests","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Nitrous oxide; Methane; Environmental science; Tropical forest; Methane emissions; Agroforestry; Atmospheric sciences; Forestry; Environmental chemistry; Chemistry; Geography; Ecology; Geology; Biology","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":[0.0001163662,0.000178835,0.000130216,0.0002480392,0.0001748025,0.0003841305,0.0001174429,0.0002167023,0.003077847],"category_scores_gemma":[0.0002855767,0.0001025483,0.00007330417,0.0002744539,0.0001594751,0.0004681208,0.0002195002,0.0001540312,0.000233941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636241,"about_ca_system_score_gemma":0.0001592969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01740774,"about_ca_topic_score_gemma":0.01241808,"domain_scores_codex":[0.9999728,0.000004901048,0.000001359688,0.000007616512,0.000005308462,0.000007959345],"domain_scores_gemma":[0.9999212,0.00004523627,0.000009455418,0.000002340532,0.000006862856,0.00001482524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002632505,0.0003296271,0.6360239,0.0004601918,0.0004328497,0.0009437381,0.001299152,0.05256562,0.222977,0.008028341,0.001956605,0.07235038],"study_design_scores_gemma":[0.00002594132,0.00004822088,0.9673936,0.00001595669,0.00004453523,0.00008695028,0.0003711117,0.02421071,0.00495274,0.001789685,0.001050096,0.00001040962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980116,0.0002304306,0.0002501534,0.00004716682,0.000004940399,0.000001188956,0.0002728938,0.000007957443,0.001173698],"genre_scores_gemma":[0.9984264,0.0002262334,0.0001547864,0.000008190565,0.000009109098,0.000002003363,0.0002248815,0.000005748303,0.0009425585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01740774,"threshold_uncertainty_score":0.03461283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005154879608586832,"score_gpt":0.2298941604101125,"score_spread":0.2247392808015257,"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."}}