{"id":"W3004822752","doi":"10.1016/j.scitotenv.2020.137052","title":"Terrestrial loads of dissolved organic matter drive inter-annual carbon flux in subtropical lakes during times of drought","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Ministry of the Environment, Conservation and Parks","funders":"China Medical University, Taiwan; Ministry of Science and Technology, Taiwan; China Medical University; Academia Sinica","keywords":"Environmental science; Dissolved organic carbon; Ecosystem respiration; Ecosystem; Primary production; Flux (metallurgy); Terrestrial ecosystem; Hypolimnion; Carbon cycle; Trophic level; Lake ecosystem; Atmospheric sciences; Precipitation; Nutrient; Environmental chemistry; Hydrology (agriculture); Ecology; Eutrophication; Chemistry; Biology; Geology; Geography","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":[0.0002034667,0.0001826365,0.0001783575,0.0003834122,0.0003862515,0.000480482,0.000206503,0.0001839837,0.0003942286],"category_scores_gemma":[0.0004647501,0.0001740836,0.0001860618,0.0003463097,0.0002546888,0.0002947039,0.0004284489,0.0001424851,0.00006017427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624259,"about_ca_system_score_gemma":0.0003133502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03110319,"about_ca_topic_score_gemma":0.03965916,"domain_scores_codex":[0.9999391,0.000009939524,0.000005834964,0.00001925379,0.00001126751,0.00001461109],"domain_scores_gemma":[0.9998139,0.00002746021,0.00006247235,0.000009819797,0.00004334955,0.00004302081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001747023,0.00004528597,0.954952,0.00001958316,0.0000714544,0.0001244262,0.0005981495,0.0008434717,0.04003143,0.00007642018,0.00008598391,0.00297724],"study_design_scores_gemma":[0.000001932742,0.00001418809,0.9980522,0.00000105709,0.000009301,0.00001288227,0.0001421719,0.001235203,0.0004609771,0.00002220483,0.00004465915,0.000003248039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999797,0.0000139811,0.00003215131,0.000007153363,3.462987e-7,9.627981e-7,0.00004280246,0.000002507781,0.0001031009],"genre_scores_gemma":[0.9998211,0.0000106358,0.00003630686,0.000006703277,9.517066e-7,0.000002724638,0.00006797184,0.000001198818,0.00005242088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03110319,"threshold_uncertainty_score":0.06184429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005407528358347318,"score_gpt":0.1656863101254734,"score_spread":0.160278781767126,"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."}}