{"id":"W4393358676","doi":"10.1017/wet.2024.14","title":"Control of multiple-herbicide-resistant waterhemp with acetochlor-based herbicide mixtures in soybean","year":2024,"lang":"en","type":"article","venue":"Weed Technology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bayer (Canada); University of Guelph","funders":"Ontario Agri-Food Innovation Alliance","keywords":"Acetochlor; Agronomy; Dicamba; Herbicide resistance; Weed control; Biology; Metolachlor; Glyphosate; Pesticide; Environmental science; Atrazine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002919526,0.0004504918,0.0005330256,0.0003324236,0.0002333609,0.0003782176,0.0004578845,0.0002982637,0.001000977],"category_scores_gemma":[0.0002486283,0.0001969734,0.0002800401,0.0002220538,0.0001769439,0.000261635,0.0003322864,0.0005909542,0.0001351865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048991,"about_ca_system_score_gemma":0.0005690069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100892,"about_ca_topic_score_gemma":0.01851664,"domain_scores_codex":[0.9996667,0.00005530426,0.00003473997,0.00008506826,0.0001110724,0.00004704492],"domain_scores_gemma":[0.9996492,0.00003371854,0.0001239929,0.00001798285,0.00005938175,0.0001158596],"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":[0.0004530379,0.0001454219,0.0007856445,0.00005683986,0.00001373983,0.00002585566,0.00001091619,0.0001515296,0.9961658,0.000008933031,0.0000297049,0.002152649],"study_design_scores_gemma":[0.0001690997,0.01075654,0.03148834,0.00002225261,0.00008753356,0.0001480931,0.00009170438,0.002686183,0.9522345,0.00002476612,0.002273096,0.00001780088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985233,0.0004291264,0.000433444,0.00002692183,0.000009551005,0.00005593541,0.0001708779,0.00003396396,0.0003169063],"genre_scores_gemma":[0.9962136,0.0003094322,0.001612464,0.00003757643,0.000004762813,0.00005496531,0.0003793636,0.00001440375,0.001373471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100892,"threshold_uncertainty_score":0.0200609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007898534181350586,"score_gpt":0.2090481673704267,"score_spread":0.2011496331890761,"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."}}