{"id":"W2884519581","doi":"10.1016/j.scitotenv.2018.07.170","title":"Hydroclimatic influences and physiographic controls on phosphorus dynamics in prairie pothole wetlands","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ducks Unlimited Canada; University of Waterloo; University of Manitoba","funders":"Environment Canada","keywords":"Pothole (geology); Wetland; Phosphorus; Environmental science; Ecology; Geography; Hydrology (agriculture); Geology; Biology; Chemistry; Geomorphology; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004883368,0.0001721017,0.0001637841,0.00005763739,0.0003445122,0.00003541093,0.0006258562,0.00002971823,0.00008167934],"category_scores_gemma":[0.00002517759,0.00008943762,0.00005665321,0.0004517564,0.005572503,0.0001704977,0.0006151021,0.0001126629,0.00007706426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912473,"about_ca_system_score_gemma":0.00001281903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002971093,"about_ca_topic_score_gemma":0.00007844535,"domain_scores_codex":[0.9983296,0.00005863521,0.0002380521,0.0003552885,0.0006629734,0.0003554817],"domain_scores_gemma":[0.9991303,0.00005805696,0.000145935,0.0005903285,0.000002622341,0.00007274127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004159992,0.001110811,0.6763721,0.00002808352,0.0001038952,0.000009464912,0.005007266,0.07096739,0.2181958,0.002920715,0.00009947632,0.024769],"study_design_scores_gemma":[0.0007272387,0.0004655306,0.9486619,0.00005308963,0.00003380109,0.00002200333,0.000382781,0.02618099,0.01987326,0.003379262,0.00002988414,0.0001902297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958835,0.00002000017,0.000003045099,0.001043844,0.00008301829,0.0003951425,0.000009924165,0.000008576932,0.002552968],"genre_scores_gemma":[0.9995496,0.00001723314,0.0001382334,0.0000389298,0.000009975471,0.00002285884,6.115868e-7,0.000007220951,0.0002153752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2722898,"threshold_uncertainty_score":0.9971337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004652107954249756,"score_gpt":0.196707373613611,"score_spread":0.1920552656593612,"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."}}