{"id":"W4386725757","doi":"10.1007/s10661-023-11621-y","title":"Internal nutrients dominate load and drive hypoxia in a eutrophic estuary","year":2023,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Fisheries and Oceans Canada; University of Prince Edward Island","funders":"","keywords":"Eutrophication; Estuary; Nutrient; Hypoxia (environmental); Sediment; Environmental science; Hydrology (agriculture); Biogeochemistry; Water column; Organic matter; Total organic carbon; Chlorophyll a; Oceanography; Environmental chemistry; Ecology; Geology; Chemistry; Oxygen; 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":[0.0001417137,0.0001572993,0.000202943,0.000314818,0.0006487265,0.0007994937,0.0002897854,0.0002933029,0.001036679],"category_scores_gemma":[0.0004402479,0.0002351656,0.0001298335,0.0003556337,0.0003795502,0.0003587811,0.0007742717,0.0001999321,0.0001340824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007385837,"about_ca_system_score_gemma":0.0005450083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03670162,"about_ca_topic_score_gemma":0.09500815,"domain_scores_codex":[0.9999357,0.00001022391,0.000008287223,0.0000159457,0.00001394192,0.00001576468],"domain_scores_gemma":[0.9997792,0.00004899606,0.0000570499,0.00001076134,0.00004791565,0.00005607086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003724312,0.0001197138,0.9550332,0.00004503214,0.00006652095,0.0004364592,0.0005398673,0.009728998,0.02513285,0.0005092842,0.000431304,0.007584343],"study_design_scores_gemma":[0.000006273905,0.00006697841,0.9835459,0.000004399949,0.00001960114,0.00005902757,0.0006781383,0.01405174,0.0009813972,0.0002649568,0.0003143833,0.000007237628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991184,0.00001182544,0.0001008185,0.00002832709,0.000001238661,0.000001523643,0.00006355944,0.000004961033,0.00066931],"genre_scores_gemma":[0.9994374,0.00001653448,0.00008482049,0.00001110019,0.000001329441,0.000001456967,0.00004218039,0.000003022477,0.0004021511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03670162,"threshold_uncertainty_score":0.07297599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008590262785931266,"score_gpt":0.2207253476702891,"score_spread":0.2121350848843578,"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."}}