{"id":"W2157578792","doi":"10.1094/phyto-09-13-0263-r","title":"Development of a Multiplex Assay for Genus- and Species-Specific Detection of<i>Phytophthora</i>Based on Differences in Mitochondrial Gene Order","year":2014,"lang":"en","type":"article","venue":"Phytopathology","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Agricultural Research Service; U.S. Forest Service; National Institute of Food and Agriculture; U.S. Department of Agriculture; Washington State University; Oregon State University","keywords":"Biology; Amplicon; Phytophthora; Genetics; Indel; Intergenic region; TaqMan; In silico; Gene; Multiplex; Computational biology; Polymerase chain reaction; Botany; Genome; Single-nucleotide polymorphism; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002544235,0.0001111808,0.0002807543,0.00003082953,0.00006572982,0.000005923524,0.00009625149,0.00009129458,0.000008431048],"category_scores_gemma":[0.00007368206,0.00004854964,0.00004277773,0.0001563609,0.00007066255,0.00001779648,0.00001832554,0.00005664517,7.678123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001010223,"about_ca_system_score_gemma":0.000007130745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004507229,"about_ca_topic_score_gemma":0.0005822783,"domain_scores_codex":[0.9990879,0.000105016,0.0002709414,0.0002625419,0.00009890972,0.0001746908],"domain_scores_gemma":[0.9994204,0.0003097718,0.0001360866,0.00004961573,0.00005359142,0.00003052412],"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":[0.0002168593,0.00008361281,0.01007327,0.0000160586,0.000001734711,0.000001515577,0.00002820152,0.000006499632,0.9555359,0.00005116634,0.000003987761,0.03398117],"study_design_scores_gemma":[0.0004145334,0.0002894998,0.7726992,0.00002444168,0.000003351482,0.000003616447,0.00002970354,0.0005242768,0.2199589,0.00007927998,0.005857165,0.0001159947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969369,0.0001001907,0.002346404,0.00004272062,0.0001982595,0.0002189038,0.00006563299,0.000008750161,0.00008221779],"genre_scores_gemma":[0.9923645,0.00002198277,0.007379065,0.00002531673,0.000125863,0.00003827686,0.00002108924,0.00000101628,0.00002291109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7626259,"threshold_uncertainty_score":0.1979797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807715560173588,"score_gpt":0.2114791887896044,"score_spread":0.1834020331878686,"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."}}