{"id":"W2755305951","doi":"10.1139/cjps-2016-0255","title":"Overexpression of &lt;i&gt;Brassica napus Myrosinase-Associated Protein 1&lt;/i&gt; improved &lt;i&gt;Sclerotinia&lt;/i&gt; tolerance in &lt;i&gt;Arabidopsis&lt;/i&gt;","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada); Agriculture and Agri-Food Canada; Alberta Environment and Protected Areas","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sclerotinia sclerotiorum; Biology; Brassica; Canola; Crucifer; Rapeseed; Myrosinase; Glucosinolate; Botany; Sclerotinia; Brassicaceae; Arabidopsis thaliana; Brassica carinata; Arabidopsis; Leptosphaeria maculans; Flea beetle; Horticulture; Gene; Mutant; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000129826,0.0005618288,0.0002499962,0.0002355864,0.000165655,0.0002237005,0.0002377085,0.000173245,0.001156538],"category_scores_gemma":[0.00005427741,0.0002203606,0.000324902,0.0001977476,0.0002046425,0.0001931174,0.0002086952,0.0006456557,0.0005883065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747398,"about_ca_system_score_gemma":0.0002466904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810559,"about_ca_topic_score_gemma":0.003453929,"domain_scores_codex":[0.9998926,0.000009256488,0.00001049476,0.00003635346,0.00003196308,0.0000193111],"domain_scores_gemma":[0.999894,0.00001289956,0.00003128879,0.00001175141,0.00001264671,0.00003743035],"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":[0.00001627002,0.000006021677,0.00004416151,0.00001486453,0.000002086363,0.000008302912,0.000005419553,0.00001064596,0.999503,0.00002664054,0.0000253607,0.0003370775],"study_design_scores_gemma":[0.00001322936,0.0001232483,0.005675938,0.000006499132,0.00004435877,0.0001272754,0.00002927719,0.0008493528,0.986361,0.00003705201,0.00672556,0.000007175336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855844,0.001364274,0.007180614,0.0001987713,0.00009016567,0.00007922851,0.002287673,0.0005621222,0.002652872],"genre_scores_gemma":[0.9673892,0.001087988,0.008247998,0.0002071165,0.0000223128,0.00008160772,0.00600192,0.0002336751,0.01672825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001810559,"threshold_uncertainty_score":0.003868997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135741537651378,"score_gpt":0.2270746343981925,"score_spread":0.2157172190216787,"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."}}