{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053431,0.00009096439,0.0001586913,0.000008829258,0.000080765,0.00003009143,0.00005449918,0.00005983606,0.000005297582],"category_scores_gemma":[0.00003610191,0.00003976374,0.00001354108,0.00009139454,0.00006801284,0.00006001875,0.00003035187,0.00006578182,8.259395e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003617679,"about_ca_system_score_gemma":0.000004286615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006505253,"about_ca_topic_score_gemma":0.002091888,"domain_scores_codex":[0.9993346,0.00005236864,0.0001808074,0.0001934282,0.0001112629,0.0001274879],"domain_scores_gemma":[0.9996358,0.0001534307,0.0001011025,0.00003154229,0.00001764655,0.00006045261],"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":[0.0001001119,0.00002185979,0.02846232,0.00003946344,0.000009126019,0.000002300348,0.0003120206,0.000002185669,0.9551252,0.000004922046,0.00007576871,0.01584473],"study_design_scores_gemma":[0.0002891488,0.0001394702,0.8262411,0.0000811917,0.00002385083,0.0000119007,0.0006496006,0.002947765,0.1683608,0.00006627533,0.001032528,0.0001563104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960092,0.002971113,0.000008742325,0.0005143383,0.00001553705,0.0001550945,0.0003042722,0.00001004067,0.00001171116],"genre_scores_gemma":[0.9983138,0.001518354,0.00002936195,0.00005758536,0.00002694989,0.00000318979,0.00004118228,9.090207e-7,0.000008642922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977788,"threshold_uncertainty_score":0.1621518,"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."}}