{"id":"W3115572391","doi":"10.3390/plants10010057","title":"Detection and Quantification of Rhizoctonia solani and Rhizoctonia solani AG1-IB Causing the Bottom Rot of Lettuce in Tissues and Soils by Multiplex qPCR","year":2020,"lang":"en","type":"article","venue":"Plants","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Phytodata","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Rhizoctonia solani; Rhizoctonia; Biology; Horticulture; Fungicide; Fungus; Veterinary medicine; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005436155,0.001014895,0.0005704399,0.001133677,0.0004059183,0.0007057851,0.0004544779,0.0005504993,0.0008916346],"category_scores_gemma":[0.0003889509,0.0003494584,0.0003688779,0.0007599352,0.0004144024,0.0002022549,0.0002791478,0.0005034591,0.0005130307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008863714,"about_ca_system_score_gemma":0.000802428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02730054,"about_ca_topic_score_gemma":0.08073807,"domain_scores_codex":[0.9991952,0.0000504048,0.00004102495,0.0003069486,0.0002755156,0.0001310472],"domain_scores_gemma":[0.9995418,0.00006906654,0.0001552588,0.00002141656,0.0001540609,0.00005846544],"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":[0.00006435732,0.00003670619,0.003781702,0.00008393906,0.00001006154,0.00002496465,0.00009853683,0.0001879636,0.9932721,0.00002209136,0.00003903894,0.002378437],"study_design_scores_gemma":[0.00002534093,0.0009793685,0.2397109,0.00009894474,0.0001325175,0.0002862627,0.0007803342,0.008455977,0.7432108,0.00009560485,0.006144425,0.00007952739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724723,0.001153295,0.01574917,0.00008823228,0.00003349456,0.0003520418,0.00726793,0.0004798805,0.002403701],"genre_scores_gemma":[0.9345386,0.001241591,0.04338117,0.000228074,0.00002505981,0.0007147443,0.009743023,0.00006768834,0.01006007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02730054,"threshold_uncertainty_score":0.05428326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510159868340391,"score_gpt":0.2229953035231375,"score_spread":0.1978937048397336,"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."}}