{"id":"W2980461408","doi":"10.2135/cropsci2019.05.0304","title":"Potential of the C Genome of Different Variants of <i>Brassica oleracea</i> for the Improvement of Agronomic and Seed Quality Traits of <i>B. napus</i> Canola","year":2019,"lang":"en","type":"article","venue":"Crop Science","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Natural Resources Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Canola; Biology; Population; Brassica; Brassica oleracea; Crop; Agronomy; Botrytis; Brassicaceae; Interspecific competition; Inbred strain; Horticulture; Botany; Botrytis cinerea; Gene; Genetics","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":[0.0001546833,0.0002989096,0.0001521786,0.0003754332,0.0001491939,0.0002336053,0.0002717685,0.0002092846,0.001004815],"category_scores_gemma":[0.0001633558,0.0001108614,0.0002216458,0.0001845361,0.00009144349,0.00008458215,0.0001655089,0.0003154381,0.0002337876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530719,"about_ca_system_score_gemma":0.0001582508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320774,"about_ca_topic_score_gemma":0.00390916,"domain_scores_codex":[0.9999301,0.00001411297,0.000006623529,0.00002060047,0.00001410069,0.00001441074],"domain_scores_gemma":[0.9998678,0.0000298029,0.00003798473,0.00001633243,0.00001648571,0.00003159109],"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":[0.00007542136,0.00001703293,0.0006375498,0.000008795875,0.000006358232,0.00001876088,0.000009438406,0.00006460199,0.9979966,0.00002511892,0.000008529898,0.001131766],"study_design_scores_gemma":[0.0001344344,0.001163496,0.1322663,0.00002578636,0.0002570381,0.0008145464,0.0001473421,0.004232936,0.851605,0.0001392824,0.009180091,0.00003372664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966162,0.0002512146,0.001985241,0.00004763555,0.000006284964,0.00003117224,0.0002959114,0.00006147877,0.0007048361],"genre_scores_gemma":[0.9946429,0.0001453748,0.002700184,0.00004677008,0.000004814149,0.00002290068,0.001519892,0.00003391108,0.0008831968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002320774,"threshold_uncertainty_score":0.004614532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005080660738638325,"score_gpt":0.2310259466871507,"score_spread":0.2259452859485124,"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."}}