{"id":"W1979613935","doi":"10.1094/mpmi-01-15-0003-r","title":"Candidate Effector Proteins of the Rust Pathogen <i>Melampsora larici-populina</i> Target Diverse Plant Cell Compartments","year":2015,"lang":"en","type":"article","venue":"Molecular Plant-Microbe Interactions","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche; European Commission; Université du Québec à Trois-Rivières; Gatsby Charitable Foundation; Université de Moncton; Leverhulme Trust; Université de Lorraine","keywords":"Effector; Nicotiana benthamiana; Biology; Rust (programming language); Cell biology; Subcellular localization; Proteomics; Genome; Obligate; Computational biology; Genetics; Gene; Botany; Cytoplasm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001284413,0.0004286534,0.0002568935,0.0002247142,0.0001736036,0.000395981,0.0001620399,0.0002423888,0.0007043214],"category_scores_gemma":[0.00009469558,0.0001150678,0.0003399108,0.0001837875,0.00009997368,0.0002036655,0.0002170402,0.0002907407,0.0004943845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002786655,"about_ca_system_score_gemma":0.0001636648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004695531,"about_ca_topic_score_gemma":0.001141063,"domain_scores_codex":[0.9999171,0.000007899044,0.000006696522,0.0000217872,0.00002709974,0.00001943818],"domain_scores_gemma":[0.9999386,0.00001017529,0.00002067139,0.000006671213,0.00001016285,0.00001376648],"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":[0.00002759827,0.000008536756,0.001057633,0.00001826225,0.000003716289,0.00004200456,0.000006241866,0.0000371594,0.9978896,0.00002062532,0.00001210644,0.0008765396],"study_design_scores_gemma":[0.00000674954,0.0001175925,0.03821886,0.000005373863,0.00004167487,0.0005897578,0.00004796254,0.001193113,0.9572447,0.00004588693,0.002484269,0.000004216682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920426,0.001038994,0.004906397,0.00005379026,0.000006121195,0.00002764817,0.000681812,0.0001500209,0.00109264],"genre_scores_gemma":[0.9828979,0.000972169,0.009234473,0.0001062847,0.000005935325,0.00002889353,0.004069918,0.00004968539,0.002634655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007043214,"threshold_uncertainty_score":0.002356172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872201376008282,"score_gpt":0.2180177292929172,"score_spread":0.1992957155328344,"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."}}