{"id":"W3158791844","doi":"10.3390/microorganisms9050996","title":"Unrelated Fungal Rust Candidate Effectors Act on Overlapping Plant Functions","year":2021,"lang":"en","type":"article","venue":"Microorganisms","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Effector; Biology; Arabidopsis; Transcriptome; Gene; Genetics; Metabolome; Context (archaeology); Transgene; Rust (programming language); Arabidopsis thaliana; Secondary metabolite; Plant defense against herbivory; Metabolite; Computational biology; Gene expression; Cell biology; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712411,0.0005103343,0.0003361284,0.0003558599,0.0001507555,0.0002936776,0.0001482611,0.0002555687,0.001225821],"category_scores_gemma":[0.0001522547,0.0001241863,0.0003089775,0.0002434199,0.0001731494,0.0002431969,0.0002999651,0.0003073733,0.000354545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226203,"about_ca_system_score_gemma":0.0001369748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001641285,"about_ca_topic_score_gemma":0.0003656726,"domain_scores_codex":[0.9998375,0.00001466877,0.00001153594,0.00005631744,0.00004631884,0.00003350959],"domain_scores_gemma":[0.999792,0.00004787822,0.00006310138,0.00002795307,0.00003637065,0.00003270492],"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":[0.0000633095,0.00001007641,0.001641232,0.000026879,0.000006213454,0.00005897124,0.000008839593,0.0000318778,0.9968377,0.00003709227,0.000007291791,0.001270451],"study_design_scores_gemma":[0.00001915537,0.0003816691,0.176438,0.000014837,0.00009526552,0.001355386,0.0001307328,0.001327506,0.8172316,0.000300971,0.00269449,0.00001031474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951181,0.0009322641,0.002406787,0.00003267582,0.000006416927,0.00001311462,0.0005055467,0.0000565884,0.0009285551],"genre_scores_gemma":[0.9943402,0.0003824955,0.002276626,0.00005735621,0.000005146296,0.00001301142,0.001528943,0.00001832131,0.001378001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001225821,"threshold_uncertainty_score":0.0041008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120143910217047,"score_gpt":0.1968481522121732,"score_spread":0.1856467131100027,"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."}}