{"id":"W4290929871","doi":"10.1093/jxb/erac333","title":"Tissue-specific mRNA profiling of the <i>Brassica napus</i> – <i>Sclerotinia sclerotiorum</i> interaction uncovers novel regulators of plant immunity","year":2022,"lang":"en","type":"article","venue":"Journal of Experimental Botany","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canola Council of Canada","keywords":"Biology; Sclerotinia sclerotiorum; Arabidopsis; Brassica; Laser capture microdissection; Transcriptome; Gene; Cell biology; Genetics; Transcription factor; Botany; Gene expression; Mutant","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004072212,0.00012874,0.0002761272,0.00002145394,0.0003022522,0.00001771721,0.0004283203,0.0000426202,0.0002099816],"category_scores_gemma":[0.0000114647,0.00005083754,0.0002184003,0.0002865887,0.00007216493,0.0001322842,0.0001797394,0.0002773968,5.551145e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107834,"about_ca_system_score_gemma":0.00002068023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002412118,"about_ca_topic_score_gemma":0.00001385131,"domain_scores_codex":[0.9984909,0.0001128966,0.0005566484,0.0001268731,0.000546261,0.0001663996],"domain_scores_gemma":[0.9987928,0.00007505777,0.0009216032,0.0000840419,0.00006811622,0.0000584229],"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":[0.0002662752,0.0003794144,0.0004918601,0.000002623332,0.00002496067,0.000004066782,0.0001281673,0.00003181015,0.9975216,0.0002197452,0.0003523004,0.0005771204],"study_design_scores_gemma":[0.0003226718,0.0006353521,0.004090458,0.00008055456,0.00001136871,0.0001275727,0.004988418,0.00001091152,0.9822782,0.00002386851,0.007333803,0.00009678309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972139,0.0009849119,0.000006374871,0.0001433894,0.0009586204,0.0001833874,0.0003011575,0.000005667341,0.0002025638],"genre_scores_gemma":[0.9994617,0.00005608249,0.0002681915,0.00005081183,0.0001032469,0.000004690244,0.000007353422,0.000002013687,0.00004590461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01524342,"threshold_uncertainty_score":0.232471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224885687055134,"score_gpt":0.2198285615772352,"score_spread":0.1975797047066838,"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."}}