{"id":"W2908946283","doi":"10.1094/pdis-05-18-0905-re","title":"Applications of Next-Generation Sequencing for Large-Scale Pathogen Diagnoses in Soybean","year":2019,"lang":"en","type":"article","venue":"Plant Disease","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Biology; DNA sequencing; Pathogen; Cercospora; Outbreak; Botany; Leaf spot; Microbiology; Virology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008237705,0.00009372516,0.0001087605,0.00004252651,0.00003293776,0.00001185145,0.00009375084,0.00004740892,0.00001547263],"category_scores_gemma":[0.00004145239,0.00009157172,0.00007903036,0.00005305683,0.00001003166,0.000006325611,0.00002968898,0.00002268118,0.00000729485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001049935,"about_ca_system_score_gemma":0.0001022491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006542726,"about_ca_topic_score_gemma":0.00006969437,"domain_scores_codex":[0.9993228,0.00002290423,0.0001619491,0.0002493713,0.00007387191,0.0001690569],"domain_scores_gemma":[0.9995641,0.00002212831,0.00005751986,0.0002130557,0.00003645812,0.000106793],"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":[0.0001081589,0.0001309976,0.06884927,0.00009280696,0.00001042734,0.000003300172,0.0000213954,0.0001909835,0.9295887,0.0001947503,0.0004784302,0.0003307782],"study_design_scores_gemma":[0.008816856,0.001041355,0.2975877,0.0004711075,0.0006334656,0.00002772935,0.001912841,0.1026013,0.3870156,0.001330841,0.1956488,0.002912384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752244,0.001398862,0.002345229,0.0000191426,0.00005005802,0.0006551935,0.02018636,0.00000801693,0.0001127801],"genre_scores_gemma":[0.9900063,0.000176994,0.0003154534,0.0001241425,0.0001319622,0.0002534108,0.008900155,0.00001190993,0.00007970386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5425731,"threshold_uncertainty_score":0.3734186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182546968707868,"score_gpt":0.2392603191066543,"score_spread":0.2174348494195756,"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."}}