{"id":"W2072958689","doi":"10.7202/706069ar","title":"Populations genetics and the evolution of herbicide resistance in weeds","year":2005,"lang":"en","type":"article","venue":"Phytoprotection","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Manitoba","funders":"","keywords":"Biology; Gene flow; Mutation rate; Weed; Population; Genetics; Resistance (ecology); Allele; Herbicide resistance; Mutation; Selection (genetic algorithm); Mating system; Population genetics; Gene; Evolutionary biology; Genetic variation; Mating; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001601978,0.00004136659,0.0000699614,0.00000976415,0.0001041128,0.000009193062,0.00005087626,0.00002640224,0.000016792],"category_scores_gemma":[0.00001565573,0.00001544799,0.00002377913,0.0002365124,0.00005211729,0.0000492589,0.00001138145,0.00006039878,0.000002880122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003610948,"about_ca_system_score_gemma":0.000002706257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003854602,"about_ca_topic_score_gemma":0.05159029,"domain_scores_codex":[0.9995931,0.00003840056,0.0001399293,0.00009123302,0.00006528707,0.00007199714],"domain_scores_gemma":[0.9998225,0.00003783519,0.00006017318,0.00003761942,0.00002910117,0.00001274444],"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":[0.0001800321,0.00007110936,0.01074976,0.000009107755,0.00000651512,6.892625e-8,0.0002212439,0.0002897776,0.7697179,0.08796746,0.00004655552,0.1307405],"study_design_scores_gemma":[0.0003012533,0.00001616129,0.9529026,0.000009636054,0.000006581189,8.380111e-7,0.00009756537,0.0010438,0.001345335,0.04121719,0.003011301,0.00004771728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902076,0.001527023,0.0003907394,0.006146024,0.00001815068,0.0003222094,0.000002660109,0.00001705317,0.001368521],"genre_scores_gemma":[0.9992391,0.00001212943,0.0003544182,0.00003623414,0.000135711,0.00008291359,0.000001827275,3.556334e-7,0.0001372836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9421529,"threshold_uncertainty_score":0.9657157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155811510311528,"score_gpt":0.2227540647670724,"score_spread":0.2071729137359196,"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."}}