{"id":"W4293082984","doi":"10.1017/wet.2022.45","title":"Effective dose of atrazine required to complement tolpyralate for annual weed control in corn","year":2022,"lang":"en","type":"article","venue":"Weed Technology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Grain Farmers of Ontario; Ontario Agri-Food Innovation Alliance; University of Guelph","keywords":"Atrazine; Lambsquarters; Foxtail; Weed; Ragweed; Weed control; Setaria viridis; Biology; Agronomy; Setaria; Pesticide; Horticulture; Chenopodium","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002489802,0.0001111482,0.0003124583,0.00008129034,0.0001608894,0.000004787822,0.0003595224,0.00007539871,0.000147714],"category_scores_gemma":[0.00004192872,0.00005682401,0.00007182043,0.0007629979,0.00006453714,0.00002692537,0.000148516,0.0001332957,0.000009094427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006331554,"about_ca_system_score_gemma":0.000008505989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864838,"about_ca_topic_score_gemma":0.001931989,"domain_scores_codex":[0.9989524,0.00004614424,0.0003015177,0.0002884811,0.0001071841,0.0003042674],"domain_scores_gemma":[0.999459,0.0002156554,0.0001116872,0.0000925678,0.00007891675,0.00004219121],"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":[0.0002563365,0.0001450163,0.001153168,0.000003367039,0.00002138132,0.000001405382,0.0000461167,0.00004355815,0.9317338,0.01126732,0.0006233921,0.05470517],"study_design_scores_gemma":[0.0059936,0.007013353,0.7160783,0.00001800227,0.00006645349,0.00001301013,0.002622929,0.0008557769,0.008378305,0.02985561,0.2286032,0.0005014003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720476,0.00006950252,0.0001224273,0.02337514,0.00005431742,0.003352852,0.0006941437,0.0001168171,0.000167208],"genre_scores_gemma":[0.9933419,2.261699e-7,0.0002341579,0.0004323091,0.00003691037,0.005812874,0.00005360789,0.000001464968,0.00008657942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9233555,"threshold_uncertainty_score":0.281909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041751733935022,"score_gpt":0.2428564574523197,"score_spread":0.2324389401129695,"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."}}