{"id":"W2076564458","doi":"10.2134/jeq2001.3041360x","title":"Seasonal Leaching and Biodegradation of Dicamba in Turfgrass","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Dicamba; Biodegradation; Leaching (pedology); Environmental science; Environmental chemistry; Environmental engineering; Agronomy; Chemistry; Ecology; Soil water; Biology; Soil science","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":[0.0008298683,0.00008328409,0.0001642722,0.00005036696,0.00003249209,0.000009925705,0.0001011234,0.00003224368,0.0006371636],"category_scores_gemma":[0.0000229914,0.00007218927,0.0000542684,0.0000813725,0.0001358731,0.0002927493,0.00008691962,0.0001276731,0.000009698152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398682,"about_ca_system_score_gemma":0.000003162942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002031729,"about_ca_topic_score_gemma":0.00008782651,"domain_scores_codex":[0.99877,0.0001294944,0.0004705285,0.0001150509,0.000402227,0.0001127032],"domain_scores_gemma":[0.9994374,0.00003981555,0.0003595796,0.00008482664,0.000001397064,0.00007699439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009400043,0.0003986204,0.8920802,0.000009473043,0.00001645668,0.00001694003,0.0004496216,0.0004721924,0.0448647,0.0004029217,0.0001239979,0.0610709],"study_design_scores_gemma":[0.000567686,0.0000713163,0.9934042,0.00001188163,0.000009434657,0.00001863445,0.0008016922,0.0002243132,0.000363152,0.00034895,0.004102312,0.00007649116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997065,0.0001100835,0.0009829265,0.0004424392,0.00004944342,0.00006677472,0.000004806945,0.000002378655,0.001276137],"genre_scores_gemma":[0.998229,0.0002533745,0.001235942,0.0001284866,0.00001427699,7.857196e-7,0.000002329687,0.000004806862,0.0001309797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.101324,"threshold_uncertainty_score":0.6976494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854428601008534,"score_gpt":0.2659698502469594,"score_spread":0.2474255642368741,"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."}}