{"id":"W4309990481","doi":"10.1094/mpmi-07-22-0157-r","title":"The Role of a Soybean 14-3-3 Gene (<i>Glyma05g29080</i>) on White Mold Resistance and Nodulation Investigations Using CRISPR-Cas9 Editing and RNA Silencing","year":2022,"lang":"en","type":"article","venue":"Molecular Plant-Microbe Interactions","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"RNA interference; Biology; Gene silencing; CRISPR; Gene; Sclerotinia sclerotiorum; Trans-activating crRNA; RNA silencing; Genetics; Gene expression; CRISPR interference; RNA; Genome editing; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002091032,0.0001347105,0.0001336943,0.00003514718,0.00130368,0.00008529948,0.0001213605,0.00003509359,0.00002279612],"category_scores_gemma":[0.00004604395,0.00006880449,0.0000490152,0.00020861,0.00005911026,0.00008912304,0.0001116024,0.0002158471,7.128067e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004436186,"about_ca_system_score_gemma":0.00001200707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009352982,"about_ca_topic_score_gemma":0.0009490993,"domain_scores_codex":[0.9989415,0.0001342017,0.0002526528,0.0002739827,0.000188749,0.0002089466],"domain_scores_gemma":[0.9994223,0.0001793058,0.0002063892,0.00007745087,0.00005009048,0.00006452933],"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":[0.00002735007,0.00002411057,0.0001857603,0.000004638475,0.00001685134,0.00001267618,0.0001702406,0.0003135154,0.9976833,0.0007966178,0.0001334647,0.0006315038],"study_design_scores_gemma":[0.0002260589,0.0001582325,0.002729809,0.0001731421,0.00007820005,0.0003324652,0.004632127,0.006277706,0.9721958,0.002761532,0.01005616,0.0003787808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972229,0.0005678905,0.000209822,0.000615145,0.0002237119,0.000176305,0.0006129592,0.00002536841,0.0003458896],"genre_scores_gemma":[0.9987726,0.0000325198,0.0006646457,0.0001642064,0.00006941679,0.00001980861,0.0001166783,0.000002946311,0.0001572284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02548749,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110908741429427,"score_gpt":0.2004046280221079,"score_spread":0.1893137538791652,"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."}}