{"id":"W2116944701","doi":"10.1139/w08-103","title":"Whole-cell protein and ITS rDNA profiles as diagnostic tools to discriminate<i>Fusarium avenaceum</i>intraspecific variability and associated virulence","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Virulence; Intraspecific competition; Fusarium; Internal transcribed spacer; Fungi imperfecti; Polyacrylamide gel electrophoresis; Fungus; Pathogen; Microbiology; Genetics; Botany; Gene; Ribosomal RNA; Biochemistry; Zoology; Enzyme","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":[0.0002918574,0.0002664725,0.0002667936,0.0009361249,0.0001404829,0.0003200425,0.000127071,0.0002158512,0.0003779372],"category_scores_gemma":[0.0004431143,0.0001012291,0.0001906126,0.0007889727,0.0002131189,0.0002354055,0.0001964572,0.000162255,0.0001626016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469082,"about_ca_system_score_gemma":0.0001280601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413802,"about_ca_topic_score_gemma":0.001764209,"domain_scores_codex":[0.9997992,0.00004226533,0.00002256029,0.00004674742,0.00005921693,0.00003001801],"domain_scores_gemma":[0.9997273,0.00004802007,0.0001004393,0.00002397899,0.00005810522,0.0000420408],"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":[0.0002122453,0.00003284125,0.02242596,0.00004618638,0.00002052544,0.0000503051,0.00007542413,0.0001149321,0.9718691,0.00003693022,0.00002421906,0.005091359],"study_design_scores_gemma":[0.00002565131,0.001355077,0.7107171,0.00001886261,0.0001135451,0.001513583,0.0005508526,0.002735715,0.2808239,0.0001915337,0.001929022,0.00002518448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968466,0.0004026264,0.001765122,0.00001841109,0.000003830274,0.00002204518,0.0005981814,0.00001138801,0.0003317935],"genre_scores_gemma":[0.9917922,0.0003381675,0.006231971,0.00001660748,0.000004374743,0.00002132317,0.001217112,0.000005130451,0.0003731422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001413802,"threshold_uncertainty_score":0.002811193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214002025964692,"score_gpt":0.1912569116585824,"score_spread":0.1791168913989354,"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."}}