{"id":"W2104269722","doi":"10.1094/mpmi-09-11-0238","title":"A Comprehensive Analysis of Genes Encoding Small Secreted Proteins Identifies Candidate Effectors in <i>Melampsora larici-populina</i> (Poplar Leaf Rust)","year":2011,"lang":"en","type":"article","venue":"Molecular Plant-Microbe Interactions","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Office of Science; Institut National de la Recherche Agronomique; Universiteit Gent; Joint Genome Institute; U.S. Department of Energy","keywords":"Effector; Biology; Gene; Rust (programming language); Obligate; Genetics; Fungus; Candidate gene; Genome; Host (biology); Computational biology; Botany; Cell biology","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":[0.0001294993,0.0002171242,0.0003624302,0.0002379879,0.0001466184,0.000055947,0.0002542301,0.00008767736,0.0003846336],"category_scores_gemma":[0.00002217637,0.0001182508,0.0002419584,0.001157884,0.00006911661,0.0001283921,0.0001405931,0.0001967213,0.00001611601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004974185,"about_ca_system_score_gemma":0.000008043561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0110337,"about_ca_topic_score_gemma":0.02418474,"domain_scores_codex":[0.9985343,0.0001823509,0.0004219177,0.0004404674,0.000133647,0.0002872792],"domain_scores_gemma":[0.9994009,0.00005026185,0.0002256718,0.0001504035,0.0001038147,0.00006898218],"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":[0.00007631008,0.0001836579,0.003060719,0.00002522579,0.0005115592,0.00005711791,0.0003859404,0.000206627,0.9927517,0.0001872325,0.0001340741,0.002419819],"study_design_scores_gemma":[0.0003198266,0.0001882807,0.03835886,0.0001048061,0.0006720442,0.00003475725,0.001668266,0.0005177209,0.927821,0.00005116396,0.02976745,0.0004958024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978827,0.0002204169,0.0004010567,0.0001981317,0.0003183794,0.0003700933,0.0001497075,0.00006417546,0.0003953898],"genre_scores_gemma":[0.9984314,0.0001059985,0.0004296023,0.0001759374,0.00003027163,0.00005435331,0.0005215449,0.000003001156,0.0002479296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06493069,"threshold_uncertainty_score":0.9955519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858590957059949,"score_gpt":0.2209567170348646,"score_spread":0.1923708074642651,"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."}}