{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001328675,0.0003544132,0.0004212116,0.000176763,0.0002547928,0.0003690228,0.0004342737,0.0003037905,0.0008045113],"category_scores_gemma":[0.0001563786,0.000125008,0.0002683864,0.0001914726,0.0002116679,0.0001979285,0.0002714521,0.0005222666,0.0001187171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703579,"about_ca_system_score_gemma":0.001514969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1086968,"about_ca_topic_score_gemma":0.2616305,"domain_scores_codex":[0.9997594,0.00001616528,0.00001721532,0.00006903856,0.00008342775,0.00005484067],"domain_scores_gemma":[0.999795,0.00002081065,0.00006319268,0.00001152722,0.00005274954,0.00005667678],"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":[0.0003526961,0.0001082283,0.0007784482,0.00009442544,0.00001168678,0.00004577229,0.00003469732,0.0001440732,0.9959288,0.00002059327,0.00003918108,0.002441434],"study_design_scores_gemma":[0.00009602568,0.007725055,0.07428987,0.00002411116,0.00007341881,0.0001894207,0.0002481835,0.001028677,0.9126748,0.00001683332,0.00360227,0.00003125052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978629,0.0004847419,0.0002969882,0.00003465196,0.000008837754,0.0000742589,0.0002619578,0.00001463917,0.0009610383],"genre_scores_gemma":[0.9920438,0.0007329839,0.002108741,0.0000497493,0.000003630215,0.00005192474,0.0004388922,0.00001079277,0.004559572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086968,"threshold_uncertainty_score":0.2161282,"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."}}