{"id":"W1961239344","doi":"10.4141/cjps-2014-109","title":"Winter wheat (<i>Triticum aestivum</i> L.) response to herbicides as affected by application timing and temperature","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"Agricultural Adaptation Council; Ontario Ministry of Agriculture, Food and Rural Affairs; Ministry of Agriculture, Food and Rural Affairs; Grain Farmers of Ontario","keywords":"Dicamba; Mecoprop; MCPA; Winter wheat; Phytotron; Growing degree-day; Agronomy; Biology; Yield (engineering); Pesticide; Horticulture; Weed control; Phenology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008517096,0.00009007793,0.000130019,0.00006432904,0.0004263971,0.0001488939,0.0003552442,0.00004908876,0.00002987954],"category_scores_gemma":[0.0003358949,0.00004041184,0.00002686311,0.00046524,0.0001671596,0.0001915468,0.00001506464,0.0001321457,0.00001754864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005875721,"about_ca_system_score_gemma":0.0001283108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004447915,"about_ca_topic_score_gemma":0.01654803,"domain_scores_codex":[0.9991093,0.00005850505,0.0001744801,0.0001927215,0.0001807819,0.0002842316],"domain_scores_gemma":[0.9987512,0.0001970487,0.00007958263,0.00005469132,0.0001623964,0.000755092],"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":[0.00002917161,0.000004232769,0.0004738648,0.000001007463,0.000001485001,0.000003387644,0.00007468672,0.000005714106,0.9907106,0.0001525004,0.00192636,0.006617001],"study_design_scores_gemma":[0.000432316,0.00123395,0.6337448,0.0001752605,0.00003475562,0.0007526593,0.0004752419,0.0002824895,0.05651709,0.001011783,0.3048635,0.0004761154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876651,0.0001339131,0.00007717382,0.01168442,0.00005633733,0.0001367444,0.00006468472,0.000007680083,0.0001740078],"genre_scores_gemma":[0.9982776,0.000001757749,0.0001316105,0.001328651,0.0001428286,0.000006461532,0.00000493864,8.098645e-7,0.0001053477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9341935,"threshold_uncertainty_score":0.923419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005960734186357867,"score_gpt":0.2005519869633079,"score_spread":0.19459125277695,"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."}}