{"id":"W2297900144","doi":"10.1534/g3.115.021022","title":"RNAseq Analysis Highlights Specific Transcriptome Signatures of Yeast and Mycelial Growth Phases in the Dutch Elm Disease Fungus<i>Ophiostoma novo-ulmi</i>","year":2015,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère des Ressources naturelles et des Forêts","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Université du Québec à Rimouski; Université Laval; Ohio State University","keywords":"Biology; Dutch elm disease; Ophiostoma; Transcriptome; Dimorphic fungus; Fungus; Mycelium; Gene; Yeast; Pathogenic fungus; Candida albicans; Genetics; Genome; Fungal protein; Gene expression; Botany; Saccharomyces cerevisiae","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":[0.0003002333,0.0002352959,0.000281957,0.0001817348,0.0001005792,0.00003369923,0.000484421,0.00008731221,0.0003104564],"category_scores_gemma":[0.000004841479,0.0001798873,0.0001205221,0.0008185817,0.0003543245,0.00007229282,0.0001541399,0.0001013147,0.00004412253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006295984,"about_ca_system_score_gemma":0.00002782387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001235678,"about_ca_topic_score_gemma":0.001255001,"domain_scores_codex":[0.9983278,0.000131818,0.0003398422,0.0004277371,0.0004166195,0.0003561621],"domain_scores_gemma":[0.999194,0.00005236747,0.0001055275,0.0004323914,0.00002217945,0.0001935497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001397331,0.002528435,0.6879522,0.000217528,0.001144199,0.0007894759,0.01953194,0.07479405,0.1124852,0.002478773,0.01425039,0.08243049],"study_design_scores_gemma":[0.001775899,0.0004463287,0.861145,0.000008845778,0.0007850537,0.00001239009,0.0006856658,0.0008305169,0.003211913,0.001754377,0.128754,0.0005899928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233078,0.07457754,0.0001473302,0.0002911528,0.0002088822,0.0003875251,0.00007537649,0.00001884588,0.000985523],"genre_scores_gemma":[0.9799246,0.0188146,0.0005332643,0.0003210409,0.00008778105,0.00003096709,0.00003584167,0.0000158236,0.0002361145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1731928,"threshold_uncertainty_score":0.7335591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427094399398272,"score_gpt":0.2177839293979543,"score_spread":0.2035129854039716,"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."}}