{"id":"W2099660760","doi":"10.7202/706074ar","title":"Herbicide-resistant crops in resistant weed management : An industrial perspective","year":2005,"lang":"en","type":"article","venue":"Phytoprotection","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Weed control; Herbicide resistance; Weed; Resistance (ecology); Agronomy; Biology; Crop; Glyphosate; Agriculture; Agroforestry; Biotechnology; Business; 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":[0.0002489452,0.0001293411,0.0001400398,0.00003395638,0.0002227203,0.00006427286,0.0001580567,0.0000998539,0.0002420474],"category_scores_gemma":[0.0000138178,0.00006174497,0.00005931756,0.0004781171,0.00002968774,0.0001968977,0.00003060454,0.0002023334,0.00005282882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240601,"about_ca_system_score_gemma":0.000005968576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02245988,"about_ca_topic_score_gemma":0.0466936,"domain_scores_codex":[0.9988858,0.00007933134,0.0002326328,0.0003666793,0.0001825556,0.0002530061],"domain_scores_gemma":[0.9996746,0.00002372771,0.00007891286,0.000090855,0.00006076977,0.00007115616],"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":[0.0004100024,0.0002150293,0.0001369424,0.000002540042,0.00001320364,0.000003182605,0.0001019786,0.0000530115,0.8187586,0.007341287,0.00007380514,0.1728904],"study_design_scores_gemma":[0.001395384,0.0007904366,0.8863746,0.00005057843,0.00003478323,0.000004170187,0.003394393,0.0004662004,0.01134793,0.01657063,0.07908048,0.0004904462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828986,0.000112956,0.00003437178,0.005595374,0.00006557839,0.001060328,0.00001053541,0.0001288147,0.01009345],"genre_scores_gemma":[0.997923,0.000003205718,0.0001681891,0.0001313895,0.0007767606,0.0004987238,0.00001071172,0.000001574476,0.0004864426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8862376,"threshold_uncertainty_score":0.9840496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752935913866422,"score_gpt":0.2444475739944693,"score_spread":0.2169182148558051,"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."}}