{"id":"W4388668353","doi":"10.36939/ir.202311141142","title":"Evaluating the Residual Benefits of Soil Amendments in Reducing Phosphorus Losses to Snowmelt Runoff from Agricultural Fields","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; The Winnipeg Foundation; Environment and Climate Change Canada","funders":"","keywords":"Snowmelt; Surface runoff; Phosphorus; Gypsum; Environmental science; Soil water; Soil conditioner; Alum; Hydrology (agriculture); Chemistry; Environmental chemistry; Soil science; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003629442,0.0003957561,0.0003828913,0.0002401123,0.0003574327,0.0005816643,0.000439347,0.000286342,0.0006122905],"category_scores_gemma":[0.0004940362,0.0001497604,0.0003712815,0.0003249296,0.00024632,0.0002804486,0.0001962846,0.0003839195,0.00008395872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218587,"about_ca_system_score_gemma":0.001418084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04000008,"about_ca_topic_score_gemma":0.08848464,"domain_scores_codex":[0.9997569,0.00004017982,0.0000192697,0.00004671514,0.00007926372,0.00005767681],"domain_scores_gemma":[0.9996136,0.00004863361,0.0001122106,0.00001533767,0.0001283178,0.00008188368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004556438,0.001150044,0.01442088,0.0004877972,0.0001458041,0.00009509728,0.0002473099,0.001765942,0.9544674,0.00005508923,0.0001304446,0.02247771],"study_design_scores_gemma":[0.000341563,0.05377435,0.3475899,0.00008975666,0.0004377376,0.0001228092,0.001098495,0.003813014,0.5854989,0.0001368518,0.007052438,0.00004417284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994366,0.0001331865,0.00007461911,0.00001229784,0.000004364188,0.00002816884,0.0000766564,0.000004329087,0.0002297644],"genre_scores_gemma":[0.9974926,0.0003088636,0.0006603553,0.00002023157,0.000004580048,0.00002483537,0.0001816857,0.000003341982,0.001303458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04000008,"threshold_uncertainty_score":0.07953453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028575397880605,"score_gpt":0.2985483564376084,"score_spread":0.2682626024588023,"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."}}