{"id":"W2101901598","doi":"10.1002/ps.2195","title":"Herbicide‐resistant weed management: focus on glyphosate","year":2011,"lang":"en","type":"review","venue":"Pest Management Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Glyphosate; Weed control; Herbicide resistance; Business; Resistance (ecology); Incentive; Weed; Government (linguistics); Integrated pest management; Agronomy; Agroforestry; Biotechnology; Agricultural science; Biology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007926469,0.0005805121,0.0008471005,0.0001851215,0.0008351534,0.0003346906,0.002674142,0.0001287111,0.000641713],"category_scores_gemma":[0.00001024188,0.0002301236,0.0003985436,0.002467639,0.0003618497,0.0002157866,0.0006969575,0.000270578,0.002508682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729893,"about_ca_system_score_gemma":0.00001633907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218518,"about_ca_topic_score_gemma":0.0002203213,"domain_scores_codex":[0.9962417,0.00007511977,0.0006442574,0.001409233,0.000724709,0.0009049969],"domain_scores_gemma":[0.9986759,0.0001039418,0.0004108504,0.0004889527,0.00005497339,0.0002653678],"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":[0.000007759341,0.0001042932,3.366197e-7,0.0005804298,0.00005527528,0.00002371949,0.00000639102,2.195008e-7,0.00008726251,0.1160982,0.000364284,0.8826718],"study_design_scores_gemma":[0.00009800247,0.0001231979,0.001786235,0.001428088,0.0004638889,0.000003367164,0.00003573086,0.000003233607,0.000002179434,0.003828422,0.9916981,0.0005295902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002544494,0.691202,0.00001154997,0.0003250959,0.0002522087,0.002666424,0.00004330863,0.0002540478,0.3052199],"genre_scores_gemma":[0.001334746,0.984799,0.0003511017,0.0002892439,0.0002385877,0.001579603,0.00005888153,0.000007743959,0.01134115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9913338,"threshold_uncertainty_score":0.998268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001801470815036,"score_gpt":0.2681803773675258,"score_spread":0.2281623626593755,"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."}}