{"id":"W2048986776","doi":"10.1139/f99-241","title":"Exposure to ultraviolet radiation in aquatic ecosystems: estimates of mixing rate in Lake Ontario and the St. Lawrence River","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bacterioplankton; Thermocline; Water column; Environmental science; Phytoplankton; Bay; Surface water; Dissolved organic carbon; Aquatic ecosystem; Oceanography; Hydrobiology; Estuary; Atmospheric sciences; Environmental chemistry; Hydrology (agriculture); Ecology; Chemistry; Geology; Aquatic environment; Nutrient; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002502827,0.0002433426,0.0002054544,0.0008281865,0.001235916,0.0008034774,0.0003938396,0.0002658952,0.0004137708],"category_scores_gemma":[0.0005513828,0.0002891818,0.000273258,0.001138409,0.0004175862,0.0003142186,0.0005219178,0.0002052048,0.00007993662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008417458,"about_ca_system_score_gemma":0.003579015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8825642,"about_ca_topic_score_gemma":0.949421,"domain_scores_codex":[0.9997531,0.00002026234,0.00001276252,0.00005019614,0.0001188169,0.00004492041],"domain_scores_gemma":[0.9996141,0.00004868515,0.000111061,0.000008886439,0.0001653797,0.00005189302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301197,0.00001767409,0.9698148,0.00006586075,0.00005510512,0.00007145442,0.00328675,0.0008333483,0.01684069,0.0001074179,0.0001350539,0.008641757],"study_design_scores_gemma":[0.000002816717,0.00001502356,0.9978206,0.000004796682,0.00001297029,0.0000151002,0.0004340138,0.000671782,0.0005062189,0.00001645359,0.0004946527,0.000005507459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988247,0.0001437038,0.0002250349,0.00001789522,5.352873e-7,0.000005285126,0.0001580396,0.000006354757,0.0006185277],"genre_scores_gemma":[0.998319,0.0001406049,0.0005465934,0.000007009077,9.099787e-7,0.00001086811,0.0002422958,0.000003033367,0.000729688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1174358,"threshold_uncertainty_score":0.2362547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009763786919798527,"score_gpt":0.1790523186965529,"score_spread":0.1692885317767544,"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."}}