{"id":"W1991398248","doi":"10.2135/cropsci2007.09.0495","title":"Leaching of Mineral and Organic Nitrogen from Putting Green Profiles Supporting Various Turfgrasses","year":2008,"lang":"en","type":"article","venue":"Crop Science","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Leaching (pedology); Lysimeter; Leachate; Fertilizer; Volatilisation; Nitrogen; Nitrate; Environmental chemistry; Denitrification; Organic fertilizer; Agronomy; Soil water; Environmental science; Chemistry; Soil science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001591175,0.0004527753,0.0002906551,0.0002394498,0.000244664,0.0004575562,0.0002526951,0.0002570099,0.0003450531],"category_scores_gemma":[0.0001835875,0.0001225176,0.0002496087,0.0002383728,0.0001969727,0.0001679907,0.0002480612,0.0002283529,0.0000850408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540019,"about_ca_system_score_gemma":0.0004033892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785687,"about_ca_topic_score_gemma":0.03707265,"domain_scores_codex":[0.9998696,0.00001216981,0.000007215617,0.00003581676,0.00003974415,0.0000354721],"domain_scores_gemma":[0.9998245,0.00002538243,0.0000536497,0.000007307016,0.00003786063,0.00005131715],"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":[0.0004224456,0.00003883755,0.01155523,0.0000697863,0.00002080607,0.00008923659,0.000086254,0.000353481,0.9838801,0.00001275931,0.00003420731,0.003436881],"study_design_scores_gemma":[0.0000295152,0.002702737,0.4093841,0.00004240472,0.00009847985,0.0002287623,0.0006882023,0.004791267,0.5800872,0.00007352159,0.001832813,0.00004091438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995878,0.00003540108,0.00009730263,0.000004567401,0.000001146014,0.000005949638,0.000139318,0.000005818958,0.0001225746],"genre_scores_gemma":[0.9969993,0.0001506856,0.001119031,0.00003832149,0.000002468782,0.0000186419,0.0007616259,0.000007581785,0.0009023141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785687,"threshold_uncertainty_score":0.03550583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391803673273393,"score_gpt":0.2317429358208768,"score_spread":0.2178248990881429,"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."}}