{"id":"W4403215167","doi":"10.1021/acs.jafc.4c07765","title":"Glyphosate Resistance in <i>Eleusine indica</i>: Involvement of <i>CYP71AK44</i> in Addition to <i>EPSPS</i> Gene Overexpression","year":2024,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"Earmarked Fund for China Agriculture Research System; National Natural Science Foundation of China; Grains Research and Development Corporation; National Key Research and Development Program of China; China Association for Science and Technology","keywords":"Eleusine indica; Glyphosate; Gene; Herbicide resistance; Resistance (ecology); Biology; Genetics; Botany; Agronomy; Weed","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001270315,0.0003719181,0.000266181,0.0002278423,0.0001825611,0.0002363034,0.0002292486,0.0002248333,0.0007956374],"category_scores_gemma":[0.00008942588,0.0001335232,0.0003137917,0.0001732611,0.0001276173,0.0001827619,0.0002129533,0.0004888633,0.0002560948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700944,"about_ca_system_score_gemma":0.0001837082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221231,"about_ca_topic_score_gemma":0.001443794,"domain_scores_codex":[0.9998871,0.00001243113,0.00001178555,0.00003945376,0.0000269083,0.00002221406],"domain_scores_gemma":[0.9999169,0.000008722688,0.00003137161,0.00000919801,0.00001407696,0.00001970098],"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":[0.00002163845,0.000007812386,0.0002282167,0.00001625808,0.000002900748,0.00002422556,0.000008551317,0.0000125569,0.9990219,0.00001963094,0.00001745482,0.0006188286],"study_design_scores_gemma":[0.00001807715,0.0002173766,0.05624456,0.000008567617,0.00004986457,0.0004410454,0.0001044559,0.001333681,0.9358958,0.00005257359,0.005616434,0.00001759163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955096,0.0004084754,0.002136596,0.0001077663,0.00002441062,0.00003121341,0.0005974549,0.0001581903,0.001026293],"genre_scores_gemma":[0.9915491,0.0003712248,0.002513102,0.0001142811,0.00001155225,0.00003979428,0.001558418,0.00008194947,0.003760629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221231,"threshold_uncertainty_score":0.002661645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008276329924706382,"score_gpt":0.1965868996172838,"score_spread":0.1883105696925774,"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."}}