{"id":"W2039058988","doi":"10.1016/j.jmarsys.2011.05.002","title":"Modeling the mass flux budgets of water and suspended sediments for the river network and estuary in the Pearl River Delta, China","year":2011,"lang":"en","type":"article","venue":"Journal of Marine Systems","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Estuary; Tributary; Hydrology (agriculture); Environmental science; Sediment; River delta; Discharge; Deposition (geology); Oceanography; Tidal irrigation; Sediment transport; Dry season; Delta; River mouth; Geology; Drainage basin; Geomorphology; Ecology; 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":[0.0006311384,0.00105252,0.0006765682,0.000931896,0.0008270186,0.001164323,0.001341267,0.001457177,0.001141825],"category_scores_gemma":[0.001073934,0.0009320395,0.000896317,0.0009052386,0.0006416329,0.001331895,0.0005443842,0.0004049738,0.00009043497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696627,"about_ca_system_score_gemma":0.003722927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2797026,"about_ca_topic_score_gemma":0.1734124,"domain_scores_codex":[0.9998854,0.00002260477,0.000008613957,0.00003953373,0.00001179674,0.00003198615],"domain_scores_gemma":[0.9997037,0.0001155853,0.00004600134,0.00001627293,0.00006577063,0.00005265069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004564903,0.00004854803,0.02053244,0.00001861447,0.00004112335,0.00009331605,0.00003812218,0.9763924,0.0006290237,0.0005322567,0.0001912431,0.001437222],"study_design_scores_gemma":[0.000016207,0.000009190489,0.003944002,0.00000180135,0.00001535727,0.000004951452,0.00003503544,0.995661,0.0001107765,0.0001364793,0.00005948691,0.000005795971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997271,0.00006654612,0.001368815,0.000131628,0.000007538424,0.00001012922,0.0003527004,0.00005040685,0.0007412918],"genre_scores_gemma":[0.9983709,0.00006049906,0.0005810805,0.0000126787,0.00000394617,0.00001544003,0.0003036654,0.00001413475,0.00063767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2797026,"threshold_uncertainty_score":0.556149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628988554821657,"score_gpt":0.1959035066856965,"score_spread":0.17961362113748,"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."}}