{"id":"W4319659696","doi":"10.1016/j.scitotenv.2023.162158","title":"Dynamics of dissolved organic carbon during drought and flood events: A phase-by-stages perspective","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Environment","funders":"National Natural Science Foundation of China","keywords":"Flood myth; Environmental science; Dissolved organic carbon; Watershed; Hydrology (agriculture); Water quality; Carbon cycle; Ecosystem; Ecology; Geography; Geology","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":[0.0006920165,0.0002444541,0.0003264968,0.0006562912,0.0003827589,0.0008589436,0.0005276253,0.0007816252,0.002060325],"category_scores_gemma":[0.001595825,0.0003496667,0.0005701649,0.000629425,0.0006169754,0.001615518,0.00070595,0.0004767535,0.0001996393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007425878,"about_ca_system_score_gemma":0.0005121303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006476691,"about_ca_topic_score_gemma":0.009235124,"domain_scores_codex":[0.9999002,0.00002091944,0.000005641523,0.00002925189,0.00001755947,0.00002651696],"domain_scores_gemma":[0.9995394,0.0001805604,0.0001113621,0.00003517725,0.00008450374,0.00004903947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001836926,0.0007083318,0.6110808,0.0004687242,0.0005367096,0.0009123602,0.001366246,0.06996335,0.1714806,0.06462423,0.002008469,0.07501326],"study_design_scores_gemma":[0.00004848547,0.0009588368,0.8482632,0.00003432804,0.0001465045,0.0003595636,0.001036171,0.1021958,0.01209589,0.02687409,0.007879894,0.0001071947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806263,0.001005015,0.00994358,0.0008243863,0.00002922597,0.00009038614,0.001240412,0.00005326785,0.006187378],"genre_scores_gemma":[0.9955257,0.0005249185,0.001720899,0.00005751437,0.00002009915,0.00002084891,0.0002945043,0.00001416998,0.00182143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006476691,"threshold_uncertainty_score":0.012878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005067713323799086,"score_gpt":0.2098060075601919,"score_spread":0.2047382942363928,"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."}}