{"id":"W2894629089","doi":"10.1038/s41561-018-0238-x","title":"Low buffering capacity and slow recovery of anthropogenic phosphorus pollution in watersheds","year":2018,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Watershed; Environmental science; Eutrophication; Surface runoff; Phosphorus; Water quality; Hydrology (agriculture); Nonpoint source pollution; Pollution; Drainage basin; Soil water; Nutrient; Ecology; Soil science; Geology; Chemistry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000278138,0.0001029216,0.0001145598,0.00005792606,0.0001055278,0.00001792396,0.0002159899,0.0001444884,0.00002757289],"category_scores_gemma":[0.00004810989,0.00008458734,0.00002548817,0.0004911741,0.0009314092,0.0003116764,0.0001742818,0.0001963512,0.0000191717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246823,"about_ca_system_score_gemma":0.000008851038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008787841,"about_ca_topic_score_gemma":0.000108966,"domain_scores_codex":[0.9989372,0.00002119128,0.0001484761,0.0003349624,0.0002679819,0.0002902136],"domain_scores_gemma":[0.9996796,0.00001243067,0.00005415361,0.0001802816,0.00001051118,0.00006300356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003882703,0.0000593032,0.9800009,0.00001018808,0.000001561725,0.000003097831,0.0009029681,0.00006588226,0.009032763,0.00006703904,0.00005273706,0.009764804],"study_design_scores_gemma":[0.0002652774,0.0001684469,0.9705163,0.00003997804,0.000003605639,0.00001340397,0.0000664153,0.003929799,0.02158267,0.002376023,0.0008720038,0.0001660396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981705,0.00006850395,0.0003429777,0.000277873,0.0004727828,0.00008856019,0.000008923965,0.00001591968,0.0005539482],"genre_scores_gemma":[0.9985527,0.00007393969,0.001017344,0.0002369903,0.00002691533,0.000002017083,0.000001249649,0.000004695037,0.00008415429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254991,"threshold_uncertainty_score":0.3449372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004944816552008493,"score_gpt":0.2055356234281806,"score_spread":0.2005908068761721,"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."}}