{"id":"W3012174288","doi":"10.1094/phyto-09-19-0350-a","title":"Whole Genome Sequencing Resource of the European Larch Canker Pathogen <i>Lachnellula willkommii</i> for Molecular Diagnostic Marker Development","year":2020,"lang":"en","type":"article","venue":"Phytopathology","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Biology; Canker; Larch; Genome; Whole genome sequencing; Range (aeronautics); Internal transcribed spacer; Ecology; Botany; Genetics; Phylogenetic tree; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001581261,0.00120657,0.00160179,0.002499073,0.001624634,0.001668767,0.001119833,0.001480671,0.009029362],"category_scores_gemma":[0.001877506,0.0006799871,0.001293816,0.004151423,0.0003067065,0.0009091877,0.001081419,0.001975674,0.01105443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008273284,"about_ca_system_score_gemma":0.003318897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009019571,"about_ca_topic_score_gemma":0.01646465,"domain_scores_codex":[0.9990212,0.00008469352,0.0001036688,0.000345917,0.0002969793,0.0001476391],"domain_scores_gemma":[0.9990079,0.0001490948,0.0001844896,0.0001319641,0.0003581086,0.0001685662],"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":[0.00186044,0.0003077744,0.01329019,0.0071089,0.0006528298,0.001639188,0.001513292,0.002917605,0.6504619,0.006663555,0.2237098,0.0898745],"study_design_scores_gemma":[0.0005379971,0.0004012357,0.08054449,0.001057503,0.0007408894,0.001051528,0.0004560771,0.007398403,0.06871913,0.003666901,0.8351908,0.000235002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06124939,0.004942368,0.0452229,0.0009170181,0.000613104,0.000992478,0.856969,0.009169119,0.01992465],"genre_scores_gemma":[0.02394724,0.001178287,0.03529441,0.0003684667,0.00006477116,0.0006771585,0.9327475,0.001199659,0.004522493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009029362,"threshold_uncertainty_score":0.0302062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464563214296834,"score_gpt":0.2091731616023121,"score_spread":0.1945275294593438,"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."}}