{"id":"W3092383842","doi":"10.1038/s41580-020-00312-y","title":"Author Correction: Applications of CRISPR–Cas in agriculture and plant biotechnology","year":2020,"lang":"en","type":"review","venue":"Nature Reviews Molecular Cell Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"CRISPR; Biotechnology; Agriculture; Agricultural biotechnology; Biology; Computational biology; Genetics; Gene; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004050422,0.001431725,0.001372843,0.002285837,0.001484201,0.002643381,0.002921306,0.004006414,0.04061776],"category_scores_gemma":[0.01867323,0.0005337124,0.0008428845,0.001768733,0.001648418,0.001954883,0.002282338,0.005442418,0.02530987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980399,"about_ca_system_score_gemma":0.004986553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003714566,"about_ca_topic_score_gemma":0.006799125,"domain_scores_codex":[0.9967874,0.0004949812,0.0004126678,0.0003948631,0.001646882,0.0002631562],"domain_scores_gemma":[0.9897016,0.001893701,0.0005721726,0.0007637554,0.006318876,0.0007498689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005938971,0.000008115593,0.00005465317,0.0007797767,0.00001931758,0.0003609193,0.00003668257,0.00008011943,0.0005565197,0.002657521,0.9302575,0.06512949],"study_design_scores_gemma":[0.00002017063,0.00001530655,0.0001547036,0.000246711,0.00001955731,0.0008232108,0.00001692133,0.00005222909,0.0006757274,0.0008982528,0.9970642,0.0000130987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"review","genre_scores_codex":[0.0002807121,0.02760294,0.003539274,0.03712352,0.922142,0.00004346006,0.0007347235,0.0005736487,0.007959651],"genre_scores_gemma":[0.02374606,0.1346537,0.01734924,0.07476231,0.2553009,0.0002631704,0.004204282,0.002404128,0.4873162],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04061776,"threshold_uncertainty_score":0.1358799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009162315418170974,"score_gpt":0.3404267912492407,"score_spread":0.3312644758310697,"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."}}