{"id":"W7032995321","doi":"","title":"Optimization of Weed Control in E3 Soybean [Glycine max (L.) Merr.]","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed control; Weed; Dicamba; Glufosinate; Chemical control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322069,0.0001123865,0.0002100528,0.0001005116,0.00008463263,0.000002565779,0.0002655736,0.0001704886,0.0004285161],"category_scores_gemma":[0.00001653033,0.0001165498,0.0001260403,0.0001522777,0.00004768258,0.000004707651,0.00004773866,0.0001446239,0.000001695719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001941923,"about_ca_system_score_gemma":0.0000603916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007080485,"about_ca_topic_score_gemma":0.000537745,"domain_scores_codex":[0.9993751,0.00007736957,0.0001262559,0.0001848123,0.0001374646,0.00009901416],"domain_scores_gemma":[0.9993566,0.00001028795,0.0002652666,0.0002615076,0.00008610831,0.00002027827],"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":[0.002170437,0.00004528512,0.0001562791,0.00008966235,0.0001588449,0.000003829565,0.0006359502,0.006715852,0.9865094,0.0001407683,0.002127953,0.001245686],"study_design_scores_gemma":[0.02792864,0.006105805,0.6235837,0.0003085352,0.003787701,0.00004928882,0.1040336,0.02211701,0.04583375,0.0008429662,0.1624507,0.002958286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897403,0.0008020599,0.001311639,0.0002507183,0.0004902678,0.0005137372,0.00009946771,0.00001146279,0.00678041],"genre_scores_gemma":[0.9940746,0.0001277024,0.0002036027,0.00003031028,0.00005544181,4.794421e-7,0.001387294,0.00001617044,0.004104403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9406757,"threshold_uncertainty_score":0.4752761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004850983807519726,"score_gpt":0.1969097226490763,"score_spread":0.1920587388415566,"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."}}