{"id":"W3133441165","doi":"10.4236/as.2021.122009","title":"Does the Application of a Fungicide after a Herbicide Reduce Soybean Injury and Increase Yield?","year":2021,"lang":"en","type":"article","venue":"Agricultural Sciences","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Grain Farmers of Ontario","keywords":"Bentazon; Fungicide; Glyphosate; Horticulture; Yield (engineering); Agronomy; Chemistry; Biology; Weed control; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575275,0.0001227956,0.0001504482,0.000006704077,0.0004010357,0.000102182,0.0002905413,0.00005579358,0.0001319123],"category_scores_gemma":[0.00005943513,0.00002623928,0.00007507035,0.0007066057,0.0002989365,0.0001831568,0.0001183961,0.00008713023,0.00001139227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009434886,"about_ca_system_score_gemma":0.0000150737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308846,"about_ca_topic_score_gemma":0.004772118,"domain_scores_codex":[0.9988922,0.00006544921,0.0002258084,0.00034765,0.000242405,0.0002265022],"domain_scores_gemma":[0.9992923,0.0003052526,0.0001144517,0.00007827574,0.0001264027,0.00008335595],"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":[0.00001084845,0.00003215508,0.005397195,0.000003295713,0.000007286797,7.367441e-7,0.00008827124,0.000001034243,0.9605455,0.00284336,0.0001848621,0.03088539],"study_design_scores_gemma":[0.00004317143,0.00007489364,0.9531618,0.00002045604,0.00002704649,0.00001660422,0.001803446,0.00002740082,0.03741555,0.002721296,0.004540801,0.0001475704],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837114,0.0007590458,0.000004885691,0.01385684,0.00003988482,0.0002240853,0.00002575861,0.00003124254,0.001346914],"genre_scores_gemma":[0.998705,0.00002748512,0.0001214773,0.0004986665,0.0001975827,0.0001191324,0.00001193198,4.375609e-7,0.0003182794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9477646,"threshold_uncertainty_score":0.3490299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062369200728966,"score_gpt":0.224652906009912,"score_spread":0.2140292140026224,"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."}}