{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543521,0.0001238313,0.0002331122,0.00001926015,0.00003411229,0.0000402172,0.0001519118,0.00008699259,0.0000492839],"category_scores_gemma":[0.00001607972,0.00004576211,0.00007744891,0.0004731677,0.00002462475,0.0001501368,0.00004838997,0.0002065333,0.000001269597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000464745,"about_ca_system_score_gemma":0.00001129408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008808519,"about_ca_topic_score_gemma":0.00037007,"domain_scores_codex":[0.9989529,0.00001659741,0.0004811292,0.000173436,0.0002124463,0.0001635449],"domain_scores_gemma":[0.9995611,0.00006967381,0.0001629995,0.00003304028,0.0000715885,0.0001015514],"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":[0.00004686931,0.0000757447,0.0002342741,0.00005835648,0.00001200023,0.000004188245,0.0001358293,0.0000113796,0.996273,0.00004825114,0.001427179,0.001672876],"study_design_scores_gemma":[0.0005612628,0.0003044761,0.4748284,0.001283462,0.00002420415,0.00004221894,0.0006110842,0.000003479764,0.5096866,0.00110288,0.01131192,0.0002400245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939581,0.002573895,0.000001210853,0.00282824,0.00002918697,0.0001042988,0.00007208899,0.000008523208,0.0004244983],"genre_scores_gemma":[0.9992267,0.0001079105,0.0001462758,0.0001228298,0.0002369122,0.0000124481,0.00003267506,8.925525e-7,0.0001133517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865865,"threshold_uncertainty_score":0.1866125,"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."}}