{"id":"W1965315835","doi":"10.1186/1471-2164-12-431","title":"Functional categorization of unique expressed sequence tags obtained from the yeast-like growth phase of the elm pathogen Ophiostoma novo-ulmi","year":2011,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre Intégré de Santé et de Services Sociaux des Laurentides; Université Laval; Centre de Géomatique du Québec; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Biology; Dutch elm disease; Ophiostoma; Genetics; Expressed sequence tag; Virulence; GenBank; Computational biology; Genome; KEGG; Population; DNA microarray; Transcriptome; Gene; Fungus; Gene expression; Botany","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":[0.0002258087,0.000451889,0.0003464702,0.0008855977,0.0002755622,0.0005044718,0.0001741729,0.0003492734,0.001081691],"category_scores_gemma":[0.0004621692,0.0001134708,0.0004804019,0.001154889,0.0001870918,0.0002933527,0.0002633412,0.0004458682,0.0007632839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138988,"about_ca_system_score_gemma":0.0002731257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007781194,"about_ca_topic_score_gemma":0.000756573,"domain_scores_codex":[0.9998593,0.000009374529,0.00001679191,0.00004433058,0.00003376574,0.00003644188],"domain_scores_gemma":[0.9996403,0.00008811359,0.0001001883,0.00002011827,0.00008862167,0.00006253835],"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":[0.000585559,0.0000843303,0.007535736,0.0001324073,0.00001824604,0.0002429399,0.0001363573,0.0001335593,0.9871764,0.00009381768,0.00007876687,0.003781922],"study_design_scores_gemma":[0.0000633056,0.00110568,0.3252768,0.00007637941,0.000214417,0.002958194,0.001023661,0.00548769,0.6576656,0.0004300958,0.005654768,0.00004355094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922087,0.0004233082,0.002777901,0.00003943384,0.00001613234,0.00003064025,0.003741557,0.00004509172,0.0007171151],"genre_scores_gemma":[0.9620073,0.0005483815,0.009485615,0.00008077198,0.00002223856,0.0000879267,0.02601767,0.00006033426,0.001689692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081691,"threshold_uncertainty_score":0.003618658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412512929137177,"score_gpt":0.2129110268308625,"score_spread":0.1787858975394908,"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."}}