{"id":"W2118180902","doi":"10.1614/wt-05-062","title":"Glyphosate Can Reduce Glyphosate-resistant Canola Growth After Individual or Sequential Applications","year":2006,"lang":"en","type":"article","venue":"Weed Technology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Agriculture and Agri-Food Canada; University of Alberta","keywords":"Canola; Glyphosate; Shoot; Agronomy; Biology; Dry weight; Greenhouse; Crop; Horticulture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507245,0.0004932412,0.0004342311,0.0003493538,0.0002312757,0.0003110687,0.0003360129,0.0003905394,0.0009535154],"category_scores_gemma":[0.0002850474,0.0002592877,0.0003129435,0.0001718735,0.0001469249,0.000254098,0.0002737144,0.0005782193,0.0002452441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000353432,"about_ca_system_score_gemma":0.0002782368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002599313,"about_ca_topic_score_gemma":0.007903765,"domain_scores_codex":[0.9997841,0.00002802358,0.0000165715,0.00005813164,0.00006559113,0.00004770755],"domain_scores_gemma":[0.9996622,0.00008672914,0.00008221599,0.00003565812,0.00004040209,0.00009278786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009477662,0.00002744261,0.0001705185,0.00001783808,0.00000637739,0.0000255726,0.00001016802,0.00004046452,0.9989618,0.000007199345,0.0000130616,0.0006247441],"study_design_scores_gemma":[0.00002526655,0.001452788,0.008897779,0.000007589932,0.00003943808,0.0001428458,0.00004826256,0.0006682304,0.9870826,0.00003373816,0.001590248,0.00001127259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970938,0.0009101743,0.0007828685,0.00004711419,0.0000228187,0.00003088369,0.0001294215,0.00009890483,0.0008840337],"genre_scores_gemma":[0.9930621,0.001020913,0.002361941,0.00007164089,0.00001476222,0.00006596552,0.0004922248,0.00006040378,0.002849929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002599313,"threshold_uncertainty_score":0.005168319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142637902070342,"score_gpt":0.2151484017837188,"score_spread":0.2037220227630154,"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."}}