{"id":"W2105939477","doi":"10.1093/database/bar053","title":"The Comprehensive Phytopathogen Genomics Resource: a web-based resource for data-mining plant pathogen genomes","year":2011,"lang":"en","type":"article","venue":"Database","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Agriculture and Agri-Food Canada","funders":"","keywords":"Oomycete; GenBank; Genome; Biology; Genomics; UniProt; Genome browser; Computational biology; DNA sequencing; Reference genome; Genome project; Annotation; Genetics; 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":[0.0003992504,0.0002698826,0.0002109877,0.0000438003,0.0004283606,0.00005116637,0.0009496639,0.0001015537,0.00001284471],"category_scores_gemma":[0.0001344622,0.0002111725,0.0001162851,0.00007341339,0.0001359105,0.000009192055,0.0005566797,0.00008815737,0.00001255513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000130844,"about_ca_system_score_gemma":0.0001939168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047528,"about_ca_topic_score_gemma":0.00006327751,"domain_scores_codex":[0.9982269,0.0001247353,0.0003058759,0.0007017583,0.0001575652,0.0004831525],"domain_scores_gemma":[0.9977127,0.0001319734,0.0001613304,0.001729534,0.00007113313,0.00019335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001354142,0.0001307465,0.001954441,0.00006326861,0.0001079845,0.00007037057,0.00008026136,0.00001682795,0.9205663,0.00006175223,0.07026844,0.005325471],"study_design_scores_gemma":[0.0009192579,0.0001718117,0.001004193,0.00002326493,0.0001110471,0.0000324059,0.0003870605,0.00286852,0.01147783,0.000005735717,0.9826548,0.0003440634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5341292,0.01574036,0.003647239,0.0001023355,0.000265612,0.001404612,0.4429265,0.00009208539,0.001692115],"genre_scores_gemma":[0.2993736,0.003034047,0.05818267,0.007091654,0.002841605,0.0007507598,0.6272653,0.0004210343,0.001039282],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9123864,"threshold_uncertainty_score":0.8611366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05445920231675954,"score_gpt":0.2540882325820764,"score_spread":0.1996290302653168,"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."}}