{"id":"W3155995477","doi":"10.5194/egusphere-egu21-13340","title":"Optimal design of experiments for effective modeling of atrazine degradation in soils","year":2021,"lang":"en","type":"article","venue":"","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Degradation (telecommunications); Pesticide degradation; Atrazine; Biological system; Metric (unit); Biochemical engineering; Monte Carlo method; Computer science; Abiotic component; Probabilistic logic; Chemistry; Computational biology; Mathematics; Ecology; Statistics; Pesticide; Biology; Engineering; Artificial intelligence","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":[0.004601567,0.0009083828,0.001331411,0.0006599879,0.000492593,0.001034777,0.0009672356,0.001480864,0.001549639],"category_scores_gemma":[0.009424611,0.0009007989,0.00151876,0.0004923056,0.001224854,0.0007779585,0.0008649564,0.001607511,0.0001352672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936767,"about_ca_system_score_gemma":0.002614554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005592794,"about_ca_topic_score_gemma":0.003923563,"domain_scores_codex":[0.9988583,0.0006564665,0.00004774199,0.0001829994,0.0001315616,0.0001228378],"domain_scores_gemma":[0.9917539,0.006950831,0.0005790619,0.0002141921,0.0003513593,0.0001506328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004610279,0.00002326473,0.000390723,0.00002686263,0.00001923051,0.00001225133,0.00001062931,0.9957036,0.000499165,0.002227224,0.00002553678,0.001015379],"study_design_scores_gemma":[0.0000167583,0.00002621308,0.00008485646,0.000002921407,0.000008332989,0.000001450362,0.000003115225,0.9978142,0.0003600694,0.001577575,0.0001009541,0.00000359279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1764377,0.0005125059,0.8186304,0.0004637842,0.0000680949,0.0004130675,0.0003230525,0.0002988291,0.002852665],"genre_scores_gemma":[0.790611,0.0003666917,0.2054942,0.0001230573,0.0000248888,0.00158574,0.0002842801,0.00006239947,0.001447771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005592794,"threshold_uncertainty_score":0.02433568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391958643659622,"score_gpt":0.2737373405942363,"score_spread":0.2398177541576401,"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."}}