{"id":"W1983969459","doi":"10.4236/as.2013.46039","title":"Influence of late emerging weeds in glyphosate-resistant corn","year":2013,"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; University of Guelph","funders":"","keywords":"Lambsquarters; Glyphosate; Agronomy; Foxtail; Weed; Biology; Ragweed; Weed control; Field trial; Yield (engineering); Biomass (ecology); Chenopodium","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":[0.0005356167,0.0003908251,0.0005115845,0.0002715486,0.0005767766,0.0005508513,0.0005203994,0.0002898813,0.0004294982],"category_scores_gemma":[0.0007752943,0.0002161558,0.0002837435,0.0001922117,0.0003677697,0.000271803,0.0002810055,0.000498304,0.00006968957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002793,"about_ca_system_score_gemma":0.001435174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09979962,"about_ca_topic_score_gemma":0.3888378,"domain_scores_codex":[0.999582,0.0001056524,0.00004564624,0.0001077399,0.00009133607,0.00006756552],"domain_scores_gemma":[0.9990671,0.0001898324,0.0002673746,0.00003929626,0.0002011745,0.0002352484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01299066,0.002201156,0.1273922,0.0003220384,0.0001975152,0.000693332,0.0006140212,0.002513472,0.8367997,0.000083481,0.0002822127,0.01591017],"study_design_scores_gemma":[0.0003912952,0.03054629,0.8653604,0.00003066902,0.0001981373,0.0002119982,0.0007753703,0.001880154,0.09819058,0.00005481126,0.002304687,0.00005565748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999506,0.00009006045,0.0000576713,0.000006889641,0.000002550298,0.00002422512,0.0000918985,0.000005710749,0.0002150899],"genre_scores_gemma":[0.9973917,0.0001833265,0.000646794,0.00005681118,0.000002599117,0.00005357452,0.000499716,0.000007463035,0.0011579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09979962,"threshold_uncertainty_score":0.1984375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073871172517568,"score_gpt":0.2112314396446178,"score_spread":0.2004927279194421,"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."}}