{"id":"W4406928727","doi":"10.3390/fishes10020055","title":"Using Nearshore Fish Communities to Evaluate Eutrophication Impact in Temperate Estuaries","year":2025,"lang":"en","type":"article","venue":"Fishes","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Fisheries and Oceans Canada; University of Waterloo","funders":"Fisheries and Oceans Canada; University of Waterloo","keywords":"Eutrophication; Temperate climate; Estuary; Fishery; Oceanography; Fish <Actinopterygii>; Environmental science; Ecology; Biology; Geology; Nutrient","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934915,0.00009152973,0.0001359744,0.0001238769,0.0001167904,0.00008326389,0.0001636353,0.00004956748,0.0007330175],"category_scores_gemma":[0.00003543494,0.00007217265,0.00002632199,0.0002709997,0.00004618832,0.0001237216,0.00003230299,0.000108278,0.00003140642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006554985,"about_ca_system_score_gemma":0.00007375705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06608693,"about_ca_topic_score_gemma":0.1348725,"domain_scores_codex":[0.999382,0.000113771,0.0001421235,0.0001036793,0.00006718871,0.0001912217],"domain_scores_gemma":[0.9996609,0.0001070551,0.0000227778,0.0001427751,0.00003009716,0.00003639545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006783252,0.000006998394,0.9682711,0.00001015332,0.00001101411,0.000002985026,0.000319389,0.00517407,0.00007994059,0.00003782499,0.001045129,0.02497357],"study_design_scores_gemma":[0.0001136834,0.00008626576,0.9810807,0.00003285903,0.000006879425,0.00000502452,0.0005050938,0.01159835,0.00008669667,0.0005789417,0.005807723,0.00009775604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846632,0.00005329706,0.00001519704,0.0009118685,0.0001052481,0.0001161318,0.00007809189,0.00002084327,0.01403615],"genre_scores_gemma":[0.9978458,0.00003453241,0.0001693203,0.0009189134,0.0000277895,0.000001479537,0.0002672936,0.000001308783,0.0007335289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06878559,"threshold_uncertainty_score":0.9401321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04583931187749662,"score_gpt":0.2938833648062567,"score_spread":0.2480440529287601,"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."}}