{"id":"W4381513185","doi":"10.1101/2023.06.20.545733","title":"A New Multiplex TaqMan qPCR for Precise Detection and Quantification of <i>Clavibacter michiganensis</i> in Seeds and Plant Tissue","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Davis; Universities Space Research Association; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Clavibacter michiganensis; Biology; Virulence; Canker; TaqMan; Multiplex; Pathogen; Microbiology; Bacterial wilt; Xylem; Bacteria; Blackleg; Multiplex polymerase chain reaction; Gene; Real-time polymerase chain reaction; Horticulture; Polymerase chain reaction; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003005984,0.001850328,0.001578342,0.00203922,0.000601485,0.001192477,0.001476905,0.0018811,0.002332036],"category_scores_gemma":[0.002735029,0.001651978,0.001203079,0.001302291,0.0009823972,0.0008853662,0.0009206065,0.001844381,0.001618747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024949,"about_ca_system_score_gemma":0.001130098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035986,"about_ca_topic_score_gemma":0.002809484,"domain_scores_codex":[0.9949385,0.000851998,0.0003381236,0.002034493,0.001433629,0.0004032482],"domain_scores_gemma":[0.9985256,0.0003975291,0.0003084931,0.0001640694,0.0004888563,0.0001154483],"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":[0.0001034244,0.0001054573,0.001571532,0.0001946043,0.00002778614,0.00004113714,0.0001195601,0.0004764845,0.9886525,0.0004172286,0.0004112867,0.007878963],"study_design_scores_gemma":[0.00005534632,0.0009493523,0.005743773,0.00008545221,0.0001194528,0.0003509858,0.0001062499,0.01655402,0.9601718,0.0003744703,0.01538165,0.0001073538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2538236,0.003428428,0.7209927,0.0004720574,0.0008324453,0.002226772,0.006806751,0.004684669,0.00673254],"genre_scores_gemma":[0.2671006,0.001652985,0.6986395,0.0008576828,0.0002063139,0.005468473,0.009437048,0.0003502022,0.01628715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003005984,"threshold_uncertainty_score":0.01589733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852781808455329,"score_gpt":0.2169419072963278,"score_spread":0.1884140892117745,"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."}}