{"id":"W4404194919","doi":"10.5376/rgg.2024.15.0024","title":"Advances in Understanding the Pathogenicity of <i>Magnaporthe oryzae</i> in Rice","year":2024,"lang":"en","type":"article","venue":"Rice Genomics and Genetics","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pathogenicity; Biology; Microbiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002872279,0.0001330702,0.0001484661,0.00006627844,0.0000604998,0.00003014049,0.0001832643,0.0001003872,0.000003978548],"category_scores_gemma":[0.00001665804,0.0001099398,0.00005149277,0.0002446446,0.000108775,0.000004750152,0.0001175996,0.00009116208,0.000002353785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002387958,"about_ca_system_score_gemma":0.00008671724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005609174,"about_ca_topic_score_gemma":0.0003824416,"domain_scores_codex":[0.9990859,0.00004419044,0.0002901245,0.000308004,0.00006848227,0.0002032753],"domain_scores_gemma":[0.9995695,0.00003448817,0.00006483966,0.0002652195,0.0000241917,0.00004176711],"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":[0.00001399489,0.00003282078,0.0002195472,0.00006332348,0.00001056155,0.000002104852,0.0002961568,0.0005330888,0.9890171,0.004958963,0.0001006792,0.004751678],"study_design_scores_gemma":[0.001377067,0.0002549494,0.02908087,0.0001205038,0.0001528182,0.00006135114,0.000982033,0.004009459,0.1014587,0.01797368,0.8435696,0.000959006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019011,0.09082285,0.005817522,0.0001496558,0.0001123776,0.0002304715,0.00008387883,0.000004788644,0.0008773903],"genre_scores_gemma":[0.9366463,0.06250716,0.0005460191,0.00008085837,0.0001085415,0.00001434152,0.00001975361,0.00001781532,0.00005914879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8875584,"threshold_uncertainty_score":0.4483214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169383721962186,"score_gpt":0.2415348986874852,"score_spread":0.2298410614678633,"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."}}