{"id":"W39271849","doi":"10.1016/b978-0-12-407686-0.00006-3","title":"Discoveries Leading to Conventional Chemical Kinetics for Pesticides in Soils","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in agronomy","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Kinetics; Soil water; Pesticide; Sorption; Environmental chemistry; Biochemical engineering; Chemistry; Biological system; Chemical kinetics; Environmental science; Soil science; Ecology; Organic chemistry; Adsorption; Biology; Engineering; Physics","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":[0.001058969,0.001118694,0.0005995696,0.0007700231,0.0004843158,0.00214343,0.001597966,0.001496955,0.0063379],"category_scores_gemma":[0.001892694,0.0007782291,0.0005984383,0.0007074444,0.002539639,0.006372734,0.001370106,0.005067003,0.004754737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452606,"about_ca_system_score_gemma":0.001485054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008766364,"about_ca_topic_score_gemma":0.001052355,"domain_scores_codex":[0.9992809,0.00009366215,0.00003047617,0.0002240915,0.0003195308,0.00005136689],"domain_scores_gemma":[0.9992195,0.0004647635,0.00002962186,0.00007342963,0.0001895099,0.00002304022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00012116,0.0001297374,0.0001650111,0.00150551,0.00002733409,0.0002839087,0.000428012,0.001753036,0.08991586,0.7501348,0.02773349,0.1278022],"study_design_scores_gemma":[0.00002658532,0.0001637875,0.000172812,0.0001681167,0.00002571747,0.000573237,0.00008746036,0.00418134,0.1142938,0.2246077,0.6556448,0.0000546209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03153356,0.2405951,0.4046718,0.01397948,0.0110919,0.0002559164,0.0007409321,0.001421291,0.2957099],"genre_scores_gemma":[0.1550095,0.1982801,0.1234853,0.006311616,0.002602428,0.000422717,0.000495769,0.001055851,0.5123367],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0063379,"threshold_uncertainty_score":0.02120245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309970202935671,"score_gpt":0.2494303404664993,"score_spread":0.2363306384371426,"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."}}