{"id":"W4385749369","doi":"10.21203/rs.3.rs-3239892/v1","title":"Exploring the Trends in Sediment and Phosphorous Concentration and Loads: Case Study over Part of the Great Lake Basin (Ontario, Canada)","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Tributary; Environmental science; Hydrology (agriculture); Water quality; Phosphorus; Drainage; Manure; Drainage basin; Total suspended solids; Structural basin; Sediment; SWAT model; Tillage; Tile drainage; Geography; Environmental engineering; Geology; Ecology; Sewage treatment; Soil water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001770898,0.0002671698,0.0001841387,0.0008388406,0.001535663,0.0007945861,0.0005179785,0.0002961499,0.0009825161],"category_scores_gemma":[0.000569369,0.0001699837,0.0002121004,0.00370903,0.0006676296,0.0002418659,0.0004357707,0.000233069,0.0001148983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01216909,"about_ca_system_score_gemma":0.009440075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906149,"about_ca_topic_score_gemma":0.9966574,"domain_scores_codex":[0.9997782,0.00001760816,0.0000101651,0.00003964728,0.00007659973,0.00007782671],"domain_scores_gemma":[0.9995112,0.00005769399,0.00006759947,0.00002186578,0.0002513892,0.00009027023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001549571,0.0001012593,0.9596125,0.0001387282,0.0001077321,0.002726577,0.005399413,0.004353593,0.004074193,0.0003871352,0.001850301,0.02109352],"study_design_scores_gemma":[0.000006956596,0.00002737458,0.9903802,0.00001029408,0.00002391354,0.0001112184,0.00437488,0.00239422,0.0003662733,0.00004262993,0.002250087,0.00001201286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970542,0.00008844629,0.0001484009,0.00007115064,0.000001610486,0.00002309542,0.0008835869,0.00001349317,0.001715844],"genre_scores_gemma":[0.9962391,0.0001261907,0.0004831698,0.00002419817,0.000001547138,0.00001390626,0.0006194115,0.000006056244,0.002486462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216909,"threshold_uncertainty_score":0.08829337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0987952504722337,"score_gpt":0.3102250293832076,"score_spread":0.2114297789109739,"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."}}