{"id":"W4406185745","doi":"10.1002/ece3.70755","title":"How Marine Megabenthos Fauna Responds to River Discharge and Artificial Flood in Large River Estuary","year":2025,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nutrition Obesity Research Center, University of North Carolina; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Estuary; Fauna; Biodiversity; Flood myth; Ecology; Environmental science; Geography; 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":[0.0001225829,0.0001432302,0.0001497724,0.0003644431,0.0002415398,0.0002924624,0.00009790782,0.0001500001,0.0005565337],"category_scores_gemma":[0.0003495117,0.0001102881,0.0001306839,0.0003059647,0.0002536284,0.0001850062,0.000367502,0.0001344489,0.00006316309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854244,"about_ca_system_score_gemma":0.0001282574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472471,"about_ca_topic_score_gemma":0.009739952,"domain_scores_codex":[0.9999228,0.00001420389,0.000007849196,0.00002157145,0.00001294233,0.00002060385],"domain_scores_gemma":[0.999808,0.00001955389,0.00008384667,0.00001055602,0.00002836757,0.0000498025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007908187,0.00001514996,0.988467,0.00001271765,0.00002996478,0.0001019038,0.0004052854,0.0002116074,0.00863154,0.00001588923,0.00004197779,0.001987956],"study_design_scores_gemma":[4.033771e-7,0.00001829739,0.999581,9.944644e-7,0.000002381091,0.00001763036,0.0001651302,0.00008697936,0.00008457482,0.000005514345,0.00003635628,7.119293e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998806,0.00001107143,0.0000138658,0.000002474194,3.1321e-7,5.290544e-7,0.00002881119,4.395982e-7,0.00006190969],"genre_scores_gemma":[0.9998139,0.00001716527,0.00001678268,0.000002984462,7.387132e-7,0.000001784056,0.00006407417,4.104773e-7,0.00008229892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003472471,"threshold_uncertainty_score":0.006904542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007166256798321859,"score_gpt":0.2340635428844138,"score_spread":0.2268972860860919,"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."}}