{"id":"W2148637264","doi":"10.1614/wt-d-13-00023.1","title":"Control of Glyphosate-Resistant Horseweed (<i>Conyza canadensis</i>) with Dicamba Applied Preplant and Postemergence in Dicamba-Resistant Soybean","year":2013,"lang":"en","type":"article","venue":"Weed Technology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Monsanto (Canada); University of Guelph","funders":"","keywords":"Dicamba; Glyphosate; Agronomy; Weed control; Biology; Herbicide resistance; Weed; Glufosinate","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002172205,0.0003486839,0.0003746333,0.000206085,0.0002287776,0.0002864523,0.0003637035,0.0002502533,0.0006302341],"category_scores_gemma":[0.0001861821,0.0001558976,0.0002372663,0.0001362646,0.0001964799,0.0002242157,0.0001926141,0.0005593454,0.0001134455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008411558,"about_ca_system_score_gemma":0.0004747896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272317,"about_ca_topic_score_gemma":0.02833807,"domain_scores_codex":[0.9998053,0.00002391087,0.00002495518,0.00006420268,0.00004597965,0.00003575582],"domain_scores_gemma":[0.9997737,0.00002646681,0.00008205298,0.00001682713,0.00003919596,0.00006183616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001390112,0.00006761633,0.000447284,0.00003637348,0.00000488688,0.00001257416,0.00001412662,0.00005722173,0.9981275,0.000008989334,0.00001393305,0.001070473],"study_design_scores_gemma":[0.00006723854,0.005469474,0.03718263,0.00001121115,0.00005021978,0.00007722873,0.00007401348,0.0009592083,0.9550056,0.0000169041,0.001073185,0.00001299016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988372,0.0002695551,0.0003582206,0.0000197409,0.0000067467,0.00003443556,0.0001122996,0.00001816053,0.0003435794],"genre_scores_gemma":[0.9963778,0.0002957992,0.001730781,0.00002719322,0.000003296493,0.00002939444,0.0002324887,0.0000108538,0.001292377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272317,"threshold_uncertainty_score":0.02529824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004264404038922243,"score_gpt":0.1691796760427461,"score_spread":0.1649152720038238,"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."}}