{"id":"W3212992322","doi":"10.1016/j.scitotenv.2021.151717","title":"Agricultural phosphorus surplus trajectories for Ontario, Canada (1961–2016), and erosional export risk","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Environmental science; Phosphorus; Agriculture; Nutrient; Drainage basin; Hydrology (agriculture); Fertilizer; Drainage; Surface runoff; Ecology; Geography; Geology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003532032,0.0001374952,0.0001257984,0.000005741922,0.0006179232,0.0000298802,0.000438417,0.00002498442,0.0001338739],"category_scores_gemma":[0.0000335762,0.00006953831,0.00006616437,0.0001475079,0.001177289,0.0001377706,0.0005947222,0.0001108151,0.00000537657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006408021,"about_ca_system_score_gemma":0.0001921225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3525631,"about_ca_topic_score_gemma":0.05331415,"domain_scores_codex":[0.9984122,0.00003051084,0.0001880512,0.0003297273,0.0007241059,0.0003154121],"domain_scores_gemma":[0.9993663,0.00005754842,0.0001218488,0.0003517437,0.000007120737,0.00009544754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002453129,0.0006616226,0.6869193,0.00003058021,0.0001261003,0.0000142143,0.01107737,0.1878442,0.09658517,0.00113111,0.009041878,0.006323119],"study_design_scores_gemma":[0.0002455245,0.00004435458,0.9704011,0.000008234976,0.00003320743,0.00002863141,0.0004632393,0.0006538627,0.02591337,0.001214404,0.0008484693,0.0001456008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980175,0.00007332055,0.00001303309,0.0006825285,0.0004443531,0.0002384519,0.00006044003,0.000004267651,0.0004660897],"genre_scores_gemma":[0.9954057,0.00004082055,0.0002905084,0.00003122602,0.00002017223,0.00002116402,0.000003943113,0.000005239757,0.004181209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2992489,"threshold_uncertainty_score":0.9639604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005128867942465109,"score_gpt":0.1634270157145455,"score_spread":0.1582981477720804,"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."}}