{"id":"W4283367438","doi":"10.1016/j.jglr.2022.06.002","title":"Complex patterns of phosphorus delivery in the Lake of the Woods watershed","year":2022,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Environment; Trent University","funders":"","keywords":"Tributary; Environmental science; Watershed; Surface runoff; Hydrology (agriculture); Sediment; Phosphorus; Erosion; Algal bloom; Water quality; Structural basin; Drainage basin; Eutrophication; Nutrient; Phytoplankton; Ecology; Geology; Geography; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000152744,0.00007701975,0.0002082271,0.00067902,0.0004600633,0.0008848504,0.0002295284,0.0002700895,0.001033409],"category_scores_gemma":[0.0007193687,0.0002274078,0.0001079215,0.0007961706,0.0005194036,0.0005953855,0.0004734351,0.0001790223,0.00008765759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007136851,"about_ca_system_score_gemma":0.0005320936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04691865,"about_ca_topic_score_gemma":0.09827618,"domain_scores_codex":[0.9999168,0.00001593477,0.000007358041,0.00002835827,0.00001226853,0.00001929699],"domain_scores_gemma":[0.9997688,0.00007419588,0.00006092881,0.000009902581,0.00004746096,0.00003882749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007222669,0.00008846432,0.9317642,0.00005077018,0.0001328754,0.0005216222,0.003721656,0.00264464,0.04852045,0.001534426,0.0003529806,0.009945547],"study_design_scores_gemma":[0.000004808172,0.00002401302,0.9958962,0.0000022798,0.000008678521,0.00005577505,0.0008025238,0.002481363,0.0004403994,0.0001506021,0.0001272977,0.000006058596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999673,0.00001091213,0.00004858732,0.0000160624,1.845683e-7,0.000001378352,0.0000391417,0.000002139737,0.0002085028],"genre_scores_gemma":[0.9996637,0.00001431488,0.00007794815,0.000003986686,5.407937e-7,0.000001978065,0.00003834586,0.000001959883,0.0001970987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04691865,"threshold_uncertainty_score":0.0932911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064804324448597,"score_gpt":0.2961473817795395,"score_spread":0.2454993385350536,"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."}}