{"id":"W2994263050","doi":"10.1094/phyto-07-19-0228-ia","title":"Progress on Molecular Genetics and Manipulation of Rust Fungi","year":2019,"lang":"en","type":"article","venue":"Phytopathology","topic":"Yeasts and Rust Fungi Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Biology; Rust (programming language); Genomics; Host (biology); Resistance (ecology); Biotechnology; Computational biology; Gene; Genetics; Evolutionary biology; Genome; Ecology","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":[0.00006144002,0.00009500539,0.0001333919,0.00003078406,0.00001987313,0.000003547913,0.00005930869,0.00008712039,0.00001284826],"category_scores_gemma":[0.000008509237,0.00008314294,0.00003493532,0.00003256746,0.00007697503,9.414821e-7,0.00008338274,0.00004114971,0.00001352225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002518369,"about_ca_system_score_gemma":0.00000863666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001065037,"about_ca_topic_score_gemma":0.000001545247,"domain_scores_codex":[0.999438,0.00003041377,0.0001157272,0.0002247613,0.0000593602,0.0001317299],"domain_scores_gemma":[0.9996632,0.000005081987,0.0000603719,0.0002053439,0.00004213108,0.00002383212],"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":[0.00009970351,0.00007217301,0.2131759,0.00005292031,0.00003249247,0.000009845002,0.00005161238,0.0001183338,0.77564,0.002924072,0.0001367571,0.007686183],"study_design_scores_gemma":[0.001226407,0.002354865,0.5083169,0.00003989762,0.00005371406,0.00009081806,0.0000785271,0.0001698184,0.4684663,0.0005685919,0.01822588,0.0004082755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930212,0.004584272,0.0001102307,0.00007968641,0.0001397407,0.0001560636,0.000007722156,0.000005298383,0.001895769],"genre_scores_gemma":[0.9987896,0.0003240085,0.0004944512,0.0001311805,0.00005975772,0.000008555084,0.00002133964,0.00001280142,0.0001582777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3071737,"threshold_uncertainty_score":0.339047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268607895897026,"score_gpt":0.2447964463765983,"score_spread":0.2365278384807012,"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."}}