{"id":"W6997208322","doi":"","title":"Using genetic engineering to increase canola seed oil content","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rapeseed; Canola; Brassica; Yeast; Acyltransferase; Erucic acid; Cultivar","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003692994,0.0008182505,0.0002756944,0.0009948612,0.0002786695,0.0005754253,0.0005212806,0.0004511794,0.001196082],"category_scores_gemma":[0.0004325663,0.0002655236,0.0003406477,0.0005307936,0.0003740105,0.0002969308,0.0004592556,0.0008121352,0.0003824705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873515,"about_ca_system_score_gemma":0.0006060532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715952,"about_ca_topic_score_gemma":0.005057982,"domain_scores_codex":[0.999675,0.00005480368,0.0000336646,0.00005649838,0.000124422,0.0000556111],"domain_scores_gemma":[0.9997141,0.00009051874,0.0000604083,0.00004154293,0.00004155684,0.00005180436],"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":[0.00003489064,0.00003596473,0.00008473555,0.00003560065,0.000009895009,0.00004769226,0.00002161403,0.0001582071,0.9972357,0.0002730009,0.00001982157,0.002042965],"study_design_scores_gemma":[0.00002434514,0.0001574191,0.0008421139,0.000007226719,0.00004149879,0.000120634,0.0000224477,0.001111696,0.992065,0.000120494,0.005475829,0.00001137494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392989,0.00165962,0.04521056,0.0007130226,0.0001744883,0.0004054169,0.0006980558,0.001252529,0.01058735],"genre_scores_gemma":[0.9571951,0.001853046,0.03044856,0.0001967906,0.00002784053,0.0001890069,0.0008585548,0.000241789,0.008989297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002715952,"threshold_uncertainty_score":0.006337881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835886844601014,"score_gpt":0.2272340236632582,"score_spread":0.198875155217248,"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."}}