{"id":"W4211057091","doi":"10.1007/978-94-017-0552-3_10","title":"Herbicide Resistance","year":2004,"lang":"en","type":"book-chapter","venue":"Weed Biology and Management","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Selection (genetic algorithm); Herbicide resistance; Resistance (ecology); Population; Glyphosate; Agronomy; Toxicology; Biotechnology; Weed; Medicine; Environmental health; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019143,0.001028119,0.0006708039,0.0009593666,0.0005502286,0.000909598,0.0008379275,0.000653439,0.03393834],"category_scores_gemma":[0.000157838,0.0002821809,0.0004128081,0.0006845634,0.0003458412,0.0006361403,0.0006592407,0.001405868,0.03064261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742393,"about_ca_system_score_gemma":0.0003726261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009943756,"about_ca_topic_score_gemma":0.001955052,"domain_scores_codex":[0.9997537,0.0000175238,0.000009206107,0.0000672286,0.0001247019,0.00002780507],"domain_scores_gemma":[0.999945,0.000007838868,0.000007213361,0.00001172642,0.00002003396,0.000008117698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008147256,0.0001273308,0.0003537751,0.0005930458,0.00002202958,0.0003579402,0.0001193222,0.0003652096,0.4112041,0.02951038,0.08753183,0.4697336],"study_design_scores_gemma":[0.000007665401,0.00006933508,0.0007748335,0.0000770554,0.00001984851,0.000818803,0.00001793588,0.0002604052,0.06133468,0.002555592,0.9340509,0.00001298192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02042134,0.03737924,0.06945913,0.001732892,0.001377128,0.0003604485,0.004766006,0.004951828,0.8595519],"genre_scores_gemma":[0.03295016,0.01427724,0.0185459,0.0012092,0.0001304612,0.0001602843,0.004159091,0.0004245615,0.9281431],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03393834,"threshold_uncertainty_score":0.1135351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305587501688542,"score_gpt":0.2137137625954403,"score_spread":0.2006578875785549,"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."}}