{"id":"W1986562203","doi":"10.4236/as.2014.51009","title":"Control of Canada fleabane (&amp;lt;i&amp;gt;Conyza canadensis&amp;lt;/i&amp;gt;) with glyphosate DMA/2,4-D choline applications in corn (&amp;lt;i&amp;gt;Zea mays&amp;lt;/i&amp;gt;)","year":2014,"lang":"en","type":"article","venue":"Agricultural Sciences","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Dow Chemical (Canada); University of Guelph","funders":"","keywords":"Glyphosate; Weed control; Agronomy; Choline; Animal science; Mathematics; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002119011,0.001881203,0.002369308,0.0002992752,0.003017419,0.0008646314,0.003765879,0.0007967444,0.00176209],"category_scores_gemma":[0.0006667218,0.0008839794,0.0006897959,0.005860839,0.001939369,0.001094771,0.0004869876,0.001157695,0.0007395622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000708637,"about_ca_system_score_gemma":0.0006229049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3147789,"about_ca_topic_score_gemma":0.9702086,"domain_scores_codex":[0.9871209,0.0007029325,0.002660926,0.003101546,0.003014138,0.003399595],"domain_scores_gemma":[0.9914882,0.002023437,0.001825705,0.001359473,0.001590725,0.001712465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002611673,0.0008301763,0.007593853,0.0001051421,0.0003369447,0.000005712121,0.001229766,0.001683206,0.9279116,0.00525908,0.04392758,0.01085576],"study_design_scores_gemma":[0.001633263,0.0002655448,0.1861147,0.0002576972,0.0004046444,0.0001726169,0.0004251456,0.00005267132,0.0004672854,0.0007265719,0.807263,0.002216836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649764,0.002374479,0.0007351457,0.01857888,0.0005994598,0.003263493,0.001396109,0.0004644645,0.007611585],"genre_scores_gemma":[0.9746612,0.0001614688,0.003719665,0.00182905,0.001470122,0.001031622,0.002554593,0.00003490935,0.01453739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9274443,"threshold_uncertainty_score":0.9993932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713367113775647,"score_gpt":0.2169698108933024,"score_spread":0.199836139755546,"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."}}