{"id":"W2912463807","doi":"10.1371/journal.pone.0210952","title":"Genome-enhanced detection and identification of fungal pathogens responsible for pine and poplar rust diseases","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Yeasts and Rust Fungi Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Canadian Forest Service; Genome British Columbia; Natural Resources Canada; U.S. Forest Service; Government of Canada; Genome Canada","keywords":"Biology; Rust (programming language); Botany; Spore; Genome; Fungus; Host (biology); Woody plant; Ecology; Genetics; Gene","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":[0.00006436483,0.00005971155,0.000105136,0.00002609278,0.00005008502,0.000008305619,0.00002522284,0.00004303614,0.000005121034],"category_scores_gemma":[0.00006707424,0.00005470577,0.00002056814,0.00002894682,0.00002985591,0.000002958094,0.00003881089,0.00001692976,0.000001642543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003124733,"about_ca_system_score_gemma":0.0000114876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001808083,"about_ca_topic_score_gemma":0.000007374707,"domain_scores_codex":[0.9995699,0.00001353474,0.0001089779,0.0001734377,0.00005505678,0.00007912893],"domain_scores_gemma":[0.9997063,0.00001137236,0.00005867439,0.0001175353,0.00007897289,0.00002717713],"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":[0.0002244162,0.000106577,0.003860362,0.0001407804,0.00009349773,8.12353e-8,0.00003185114,0.00000150098,0.9949567,0.0000128141,0.000004314505,0.0005671599],"study_design_scores_gemma":[0.0003878361,0.0003322465,0.08160435,0.00001685704,0.00009311162,7.424573e-7,0.00007655131,0.0000465601,0.917164,0.00003166203,0.0001682888,0.00007781938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965153,0.002554228,0.0004093037,0.00004357907,0.00002193277,0.0002869481,0.0001296969,0.00000496484,0.00003408406],"genre_scores_gemma":[0.9980311,0.0008784793,0.0002911121,0.00001266481,0.00006331118,0.00002766598,0.00004504387,0.000008736437,0.0006418535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07779267,"threshold_uncertainty_score":0.2230837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165294361302459,"score_gpt":0.2131099615117048,"score_spread":0.2014570178986802,"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."}}