{"id":"W4289334065","doi":"10.1016/j.scitotenv.2022.157736","title":"Total and dissolved phosphorus losses from agricultural headwater streams during extreme runoff events","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Toronto Metropolitan University","funders":"Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Eutrophication; Environmental science; Surface runoff; Phosphorus; Water quality; Hydrology (agriculture); Nutrient; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002886854,0.0002295163,0.0001678472,0.0005150982,0.0002012049,0.0006137696,0.0001597327,0.0001977446,0.0003548571],"category_scores_gemma":[0.0005524313,0.0001031465,0.0003260638,0.0008105282,0.0002007062,0.0004437304,0.0003728767,0.0001610004,0.00007412733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070655,"about_ca_system_score_gemma":0.0003858677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01769019,"about_ca_topic_score_gemma":0.02085355,"domain_scores_codex":[0.9998651,0.00001634914,0.00001340697,0.0000340354,0.00005142923,0.00001986572],"domain_scores_gemma":[0.9998167,0.00004468012,0.00007687706,0.00001114159,0.00003518876,0.00001549937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001215741,0.00005449366,0.9504826,0.00005551575,0.0001340594,0.0002560494,0.0002217948,0.02626074,0.005793166,0.0001545106,0.0002886062,0.01617697],"study_design_scores_gemma":[0.000004820828,0.00007904213,0.9694463,0.000005397691,0.00003448744,0.00008118022,0.0001750392,0.02806392,0.001317152,0.0001995526,0.000585691,0.000007427852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991978,0.00003282596,0.0002625119,0.00001240745,9.117157e-7,0.000003609398,0.0002714412,0.00001204633,0.0002064602],"genre_scores_gemma":[0.9989848,0.00005988191,0.0001642329,0.000004578911,0.000001559113,0.000005701993,0.0005681917,0.000001854895,0.0002092226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769019,"threshold_uncertainty_score":0.03517443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006751599437312528,"score_gpt":0.1697969906322991,"score_spread":0.1630453911949866,"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."}}