{"id":"W2601293916","doi":"10.1139/cjps-2016-0292","title":"Benefit of tank-mixing dicamba with glyphosate applied post-emergence for weed control in dicamba plus glyphosate resistant soybean","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Monsanto (Canada); University of Guelph","funders":"","keywords":"Dicamba; Glyphosate; Agronomy; Lambsquarters; Weed; Weed control; Biology; Bromoxynil; Pesticide; Atrazine; Glufosinate; Ragweed; Chenopodium","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009851792,0.0001554974,0.0003699535,0.0001105532,0.0009892567,0.0001818708,0.001386414,0.00006210249,0.00004553835],"category_scores_gemma":[0.0001747899,0.0000684737,0.00008247133,0.0003192284,0.0006568365,0.0003115944,0.00002636035,0.000171312,0.000002279552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001086076,"about_ca_system_score_gemma":0.0006473312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1004516,"about_ca_topic_score_gemma":0.4002284,"domain_scores_codex":[0.9982573,0.00001408456,0.0004978786,0.0002857172,0.000365531,0.0005794216],"domain_scores_gemma":[0.9980004,0.0001524032,0.00072021,0.0001679285,0.0003526028,0.0006063963],"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":[0.0002915635,0.00001419533,0.001717368,0.000006780855,0.00001236764,0.00002645582,0.0001504697,0.00006375684,0.9883717,0.004928622,0.00006454841,0.004352225],"study_design_scores_gemma":[0.001730676,0.0007579693,0.9827478,0.0002020512,0.00005887864,0.00005591373,0.00101814,0.0007664498,0.004906656,0.001662754,0.005738735,0.0003539619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943178,0.0001668025,0.00008323721,0.003465765,0.0001173233,0.0005189812,0.0006422527,0.00000527107,0.0006825383],"genre_scores_gemma":[0.9993197,0.000002850655,0.0002682241,0.0002279918,0.0001034652,0.00002663632,0.00000841801,0.000001772267,0.00004097577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.983465,"threshold_uncertainty_score":0.9055386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384777297262764,"score_gpt":0.2101767249982047,"score_spread":0.1963289520255771,"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."}}