{"id":"W2316271205","doi":"10.1080/00275514.2001.12063226","title":"Phylogenetics of Helotiales and Rhytismatales based on partial small subunit nuclear ribosomal DNA sequences","year":2001,"lang":"en","type":"article","venue":"Mycologia","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; University of Toronto; Natural Resources Canada","funders":"","keywords":"Biology; Ribosomal DNA; Ribosomal RNA; Phylogenetics; Protein subunit; Molecular phylogenetics; Nuclear DNA; Evolutionary biology; DNA; Genetics; Computational biology; Mitochondrial DNA; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007378994,0.0001345084,0.0001448834,0.0000368645,0.00006724217,0.00001499651,0.0001265458,0.0001296623,0.00003989311],"category_scores_gemma":[0.00007069568,0.0001182614,0.00005608884,0.00005712029,0.0001776545,0.000001722632,0.00005863513,0.0000440387,0.00000707374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004283437,"about_ca_system_score_gemma":0.00004076535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001173722,"about_ca_topic_score_gemma":0.00003629498,"domain_scores_codex":[0.9992619,0.00006210101,0.0001483254,0.0002504101,0.00008135477,0.0001959652],"domain_scores_gemma":[0.9996039,0.00003003008,0.00006944259,0.0001820198,0.0000360158,0.00007862053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002580606,0.0001087534,0.06115447,0.00002224956,0.0000201555,0.00004192325,0.000007112923,0.0001753886,0.936958,0.0001562335,0.000181596,0.0009160872],"study_design_scores_gemma":[0.00128883,0.003024461,0.6358188,0.00006478134,0.0001072935,0.00009037653,0.0001213167,0.001912645,0.3394444,0.00009927039,0.01742463,0.0006031506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980773,0.0004667854,0.000102349,0.00003771284,0.00006568539,0.0001093169,0.0004917565,0.00001408634,0.0006349574],"genre_scores_gemma":[0.9984914,0.000365734,0.000571947,0.0002604142,0.00009674938,0.000006830418,0.0001539484,0.00001266721,0.00004029452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5975136,"threshold_uncertainty_score":0.4822562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649738071613863,"score_gpt":0.2202563229423101,"score_spread":0.2037589422261715,"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."}}