{"id":"W4323654935","doi":"10.1016/j.scitotenv.2023.162749","title":"Modeling multi-year phosphorus dynamics in a bioretention cell: Phosphorus partitioning, accumulation, and export","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Bioretention; Phosphorus; Environmental science; Dynamics (music); Environmental engineering; Chemistry; Ecology; Biology; Surface runoff; Stormwater","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":[0.0009305104,0.0001214547,0.00009413115,0.00006272055,0.0004355204,0.00003581996,0.0004751763,0.000029462,0.0001343763],"category_scores_gemma":[0.00002109436,0.0000830249,0.00004886592,0.0006665641,0.001042264,0.0003103895,0.001039003,0.0001057031,0.0001812363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005273734,"about_ca_system_score_gemma":0.00001010997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005489385,"about_ca_topic_score_gemma":0.00002287657,"domain_scores_codex":[0.9984151,0.00003871792,0.0002596377,0.0003454505,0.0005945452,0.0003465728],"domain_scores_gemma":[0.9993582,0.00001406311,0.00009705501,0.0004716096,0.000003270052,0.00005581473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007534621,0.00007672964,0.02741454,0.000003689693,0.00000370447,7.92463e-7,0.0007123302,0.9655747,0.00547104,0.0003713481,0.00007711871,0.0002864031],"study_design_scores_gemma":[0.0001930554,0.00001692478,0.2737086,0.000008576941,0.00001151524,0.000001031959,0.0005038151,0.7234166,0.001569131,0.0004541415,0.00002495933,0.0000916365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975358,0.00002966162,0.0006551749,0.0004086587,0.0001134933,0.0003868972,0.000006840621,0.00002775181,0.0008357133],"genre_scores_gemma":[0.9975019,0.00006766971,0.0005027631,0.00001110875,0.000005214819,0.00003261272,0.000003148316,0.00001019046,0.001865439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2462941,"threshold_uncertainty_score":0.3840266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246467398806638,"score_gpt":0.2325012092490747,"score_spread":0.2078544693684109,"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."}}