{"id":"W7094525699","doi":"","title":"The silver bullet that wasn’t: Rapid agronomic weed\\nadaptations to glyphosate in North America","year":2023,"lang":"","type":"article","venue":"Insecta mundi","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glyphosate; Weed control; Weed; Weed science; Herbicide resistance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001753393,0.0001862263,0.0004476729,0.001546718,0.001321222,0.001974814,0.00059137,0.0004585244,0.001556637],"category_scores_gemma":[0.00327915,0.0002222711,0.0003769256,0.004805571,0.001079798,0.001269102,0.0005499015,0.0006777088,0.0002426575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004135829,"about_ca_system_score_gemma":0.004352202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3102031,"about_ca_topic_score_gemma":0.5308698,"domain_scores_codex":[0.998664,0.0001666337,0.0001696167,0.0003335022,0.0005865545,0.00007968575],"domain_scores_gemma":[0.9938747,0.0009878706,0.002018645,0.0009380548,0.001715962,0.0004647821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00119577,0.0002497658,0.4031436,0.002711501,0.0005349825,0.001175106,0.004539076,0.00191289,0.01329683,0.00270341,0.1297636,0.4387734],"study_design_scores_gemma":[0.00004408895,0.000435821,0.7669104,0.0004896733,0.0001767891,0.0004490748,0.002922373,0.000357883,0.002120579,0.0008982432,0.2251377,0.00005736995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895858,0.02708407,0.002320108,0.01911777,0.0007338103,0.0002147564,0.0214744,0.0002776934,0.03291955],"genre_scores_gemma":[0.9110657,0.0295977,0.01019809,0.009278353,0.0004223122,0.0003516279,0.02534351,0.0001587618,0.01358406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3102031,"threshold_uncertainty_score":0.6167949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862195113252287,"score_gpt":0.2271358687563634,"score_spread":0.1985139176238405,"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."}}