{"id":"W2937430922","doi":"10.1139/cjps-2018-0254","title":"Selection for glyphosate resistance in <i>Conyza</i> spp. occurring in the railway network of southern Spain","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria","keywords":"Glyphosate; Resistance (ecology); Biology; Biological dispersal; Herbicide resistance; Population; Crop; Agronomy; Horticulture; Botany; Weed","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001632147,0.00004971467,0.0001137637,0.00003493108,0.0001037021,0.00004056134,0.0004336901,0.00002633118,0.00003143722],"category_scores_gemma":[0.0000688658,0.0000194422,0.00003590101,0.0007212513,0.00007750688,0.00009885496,0.000004517784,0.0001087099,0.000004664761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005331314,"about_ca_system_score_gemma":0.0001990418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01446249,"about_ca_topic_score_gemma":0.5954274,"domain_scores_codex":[0.9992349,0.00003549209,0.0002315791,0.0001021372,0.0001317179,0.0002642302],"domain_scores_gemma":[0.9994311,0.0002093297,0.0001583731,0.0000335633,0.0000763424,0.0000913097],"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":[0.0001568659,0.00003658446,0.3831508,0.00002207421,0.000007766301,0.00001366235,0.002278145,0.002077697,0.5871407,0.009632404,0.001764558,0.01371874],"study_design_scores_gemma":[0.000535197,0.000233277,0.8798216,0.0002397484,0.000009868118,0.00003986287,0.001930177,0.0009082244,0.0005566954,0.005767434,0.1097512,0.0002067452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977253,0.0002155541,0.0000105254,0.001130923,0.00007383784,0.0001917769,0.00007102871,0.00000114946,0.0005798963],"genre_scores_gemma":[0.9994385,0.000001576271,0.000117107,0.0002904476,0.00009237356,0.000003933466,0.000001514591,3.460911e-7,0.00005414966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.586584,"threshold_uncertainty_score":0.9921003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075379310837708,"score_gpt":0.1923787919421526,"score_spread":0.1816249988337755,"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."}}