{"id":"W2117744550","doi":"10.1186/1471-2164-14-607","title":"RNA-seq analyses of gene expression in the microsclerotia of Verticillium dahliae","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; California Department of Food and Agriculture; U.S. Department of Agriculture","keywords":"Verticillium dahliae; Biology; Verticillium wilt; Gene; Verticillium; Gene expression; Gene expression profiling; RNA-Seq; Microarray; Genetics; Microbiology; Botany; Transcriptome","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":[0.0002705971,0.0004875466,0.0006963866,0.0005999111,0.0005309453,0.0007545218,0.0002859609,0.0004773096,0.001164518],"category_scores_gemma":[0.0004257254,0.0002259875,0.0007205568,0.0007284714,0.0002846674,0.0002408136,0.0004170424,0.0007839223,0.0006377061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084468,"about_ca_system_score_gemma":0.0003846608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408623,"about_ca_topic_score_gemma":0.002912494,"domain_scores_codex":[0.9996307,0.00001545736,0.0000171219,0.0001808209,0.0001011238,0.00005463635],"domain_scores_gemma":[0.9997445,0.00008778983,0.00004119433,0.00001473088,0.00007649254,0.00003522644],"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":[0.0003167086,0.00003188635,0.005201463,0.0003727746,0.00007215723,0.0001360329,0.0001783847,0.0005584585,0.9859425,0.0001301238,0.0006981071,0.006361332],"study_design_scores_gemma":[0.000099227,0.0007866475,0.3661383,0.0002149551,0.0005304248,0.001048201,0.001247544,0.0221553,0.5635214,0.001143582,0.0429594,0.0001549674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105157,0.003019642,0.01916239,0.0002192398,0.0002087959,0.0001735941,0.06195445,0.0008907171,0.003855413],"genre_scores_gemma":[0.8176097,0.002184989,0.04371962,0.001102415,0.000112618,0.0006761,0.1252573,0.0008052021,0.008532131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001408623,"threshold_uncertainty_score":0.0038957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979947159041186,"score_gpt":0.3077887403211806,"score_spread":0.2579892687307687,"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."}}