{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009729774,0.0003172649,0.0002299987,0.0001615347,0.0001350534,0.0001575112,0.000191136,0.0002788736,0.0008137476],"category_scores_gemma":[0.00005053063,0.00009488856,0.0002830585,0.0001052915,0.0002434048,0.00008909707,0.000207935,0.0003733432,0.0002364731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032095,"about_ca_system_score_gemma":0.000245167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143565,"about_ca_topic_score_gemma":0.002524128,"domain_scores_codex":[0.9999303,0.000009408226,0.000006710131,0.00002180632,0.00002040739,0.00001146298],"domain_scores_gemma":[0.9999408,0.00001036025,0.0000193434,0.000004867364,0.000005198342,0.00001945756],"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":[0.00002859184,0.000004987302,0.0001110953,0.00001033358,0.000001597989,0.00002890951,0.000003762356,0.0000198988,0.9994909,0.00002836855,0.000005398719,0.0002662136],"study_design_scores_gemma":[0.00001692294,0.0001605183,0.009753566,0.000005280427,0.00002102253,0.0003051516,0.00002618673,0.001409236,0.9862735,0.00004805268,0.001973227,0.000007373905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943267,0.0003283965,0.003234289,0.00006827294,0.00001673391,0.00003536846,0.0005866641,0.00008361258,0.0013201],"genre_scores_gemma":[0.9938014,0.0001782779,0.003716274,0.00005918196,0.000001668526,0.00002458353,0.0005865723,0.00002806513,0.001603931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143565,"threshold_uncertainty_score":0.002854586,"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."}}