{"id":"W1984159020","doi":"10.2134/jeq2001.302561x","title":"Tillage, Intercrop, and Controlled Drainage–Subirrigation Influence Atrazine, Metribuzin, and Metolachlor Loss","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"","keywords":"Metolachlor; Metribuzin; Atrazine; Tile drainage; Agronomy; Tillage; Surface runoff; Alachlor; Drainage; Loam; Chemistry; Environmental science; Soil water; Weed control; Pesticide; Biology; Soil science; Ecology","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":[0.0001193783,0.0003818159,0.0003845372,0.0001980276,0.0001294972,0.0003971279,0.0003359069,0.0002914687,0.000983551],"category_scores_gemma":[0.0002106933,0.0001685168,0.0002394858,0.000160342,0.000327884,0.0002670743,0.0002591429,0.0004486292,0.0001169843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005754395,"about_ca_system_score_gemma":0.0003374199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004308451,"about_ca_topic_score_gemma":0.005346463,"domain_scores_codex":[0.9997854,0.00003722034,0.0000158394,0.00007801021,0.00002645113,0.00005709712],"domain_scores_gemma":[0.9996007,0.00009492383,0.0001012275,0.00001996655,0.00003837157,0.0001449193],"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":[0.00426312,0.0005085476,0.006334756,0.00006734541,0.00004538477,0.00007669318,0.00007326794,0.0002766641,0.9851189,0.00005013632,0.00004854747,0.003136566],"study_design_scores_gemma":[0.0002764599,0.01362651,0.2990814,0.00002348494,0.0002650458,0.0002006521,0.0004117028,0.004981752,0.6778708,0.0001445464,0.003080734,0.00003687758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993783,0.0001495211,0.00009484145,0.000006125693,0.000003899469,0.000007143572,0.00007802345,0.000007942379,0.0002741239],"genre_scores_gemma":[0.9982199,0.0001034921,0.000234214,0.00002417217,0.000002917288,0.00001334812,0.0001865744,0.00000862632,0.001206807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004308451,"threshold_uncertainty_score":0.008566797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012892825890156,"score_gpt":0.2472320848709637,"score_spread":0.2343392589808077,"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."}}