{"id":"W3153014002","doi":"10.1111/mec.15920","title":"The genetic architecture and population genomic signatures of glyphosate resistance in <i>Amaranthus tuberculatus</i>","year":2021,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Max-Planck-Gesellschaft; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; Genetic architecture; Genetics; Allele; Population; Adaptation (eye); Population genomics; Selection (genetic algorithm); Single-nucleotide polymorphism; Gene; Genome; Evolutionary biology; Genomics; Quantitative trait locus; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001944741,0.0001362939,0.0001655153,0.0007292205,0.0001279735,0.0002252962,0.0001511488,0.0001752859,0.000637735],"category_scores_gemma":[0.0003579453,0.0001093243,0.0002653034,0.0003693825,0.0002022135,0.00008965104,0.0002440077,0.000201773,0.00008535415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305982,"about_ca_system_score_gemma":0.0001110028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002303539,"about_ca_topic_score_gemma":0.003725191,"domain_scores_codex":[0.9998184,0.00003336816,0.00001277026,0.00009445321,0.00001913655,0.00002188748],"domain_scores_gemma":[0.9996527,0.0001097479,0.0001385541,0.00003647826,0.00002540398,0.00003707735],"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":[0.0002863164,0.00004507412,0.1131063,0.00004407745,0.0001142596,0.0001476312,0.0002444115,0.0009179905,0.8754187,0.0002130366,0.00004579371,0.009416216],"study_design_scores_gemma":[0.000008959665,0.0001148638,0.9892722,0.000003636745,0.00003991794,0.0002226603,0.00007289761,0.00212636,0.00767478,0.0001243946,0.0003279212,0.00001141436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991739,0.0000316285,0.0005383811,0.00000687977,5.102151e-7,0.000002401836,0.0001128815,0.00001799757,0.0001153274],"genre_scores_gemma":[0.9988795,0.00002142473,0.0006632319,0.000008415703,0.000001173203,0.000005779468,0.0002918664,0.000008894851,0.0001196953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002303539,"threshold_uncertainty_score":0.004580259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003381445822905908,"score_gpt":0.185280978507334,"score_spread":0.1818995326844281,"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."}}