{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363186,0.0003222125,0.0001768341,0.001214058,0.0004012165,0.0002880553,0.0001170341,0.000215064,0.0006747738],"category_scores_gemma":[0.0005620393,0.0001708702,0.000200795,0.0005973091,0.0002775442,0.0003358326,0.0005430821,0.0001216951,0.0001296028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763768,"about_ca_system_score_gemma":0.0002337199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153873,"about_ca_topic_score_gemma":0.0518937,"domain_scores_codex":[0.9998183,0.00003213715,0.0000229332,0.00005768491,0.00003720598,0.00003188864],"domain_scores_gemma":[0.999694,0.00003837226,0.0001326673,0.00001758309,0.00005518054,0.00006223463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008441359,0.00002657109,0.9920549,0.00001374788,0.000037389,0.00003079247,0.0003747988,0.0001130361,0.005056616,0.0000146531,0.00001786106,0.002175244],"study_design_scores_gemma":[7.411541e-7,0.00004020818,0.9995555,0.00000114844,0.000004003101,0.00001198014,0.0001795759,0.00007717051,0.00009773145,0.000006149287,0.00002452842,0.000001207561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999779,0.0000198425,0.00004429592,0.00000121285,2.900952e-7,0.000002482449,0.00004886698,8.111835e-7,0.0001032665],"genre_scores_gemma":[0.9993767,0.00003202102,0.0001946255,0.00000369742,6.199614e-7,0.000008525662,0.0001711468,7.738382e-7,0.0002119501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153873,"threshold_uncertainty_score":0.02294314,"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."}}