{"id":"W3000155195","doi":"10.1038/s41596-019-0238-3","title":"Manipulating gene translation in plants by CRISPR–Cas9-mediated genome editing of upstream open reading frames","year":2020,"lang":"en","type":"article","venue":"Nature Protocols","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"CRISPR; Biology; Cas9; Genome editing; Transgene; Gene; Translation (biology); Mutant; Open reading frame; Guide RNA; Genetics; Computational biology; Upstream open reading frame; Messenger RNA","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":[0.000576166,0.0006126536,0.0005108212,0.0004443863,0.0007040661,0.000832089,0.0008025217,0.000862374,0.001659583],"category_scores_gemma":[0.000486241,0.0005946876,0.0006886477,0.0003604373,0.0007412176,0.0004962135,0.0006354807,0.002350867,0.001371835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008889265,"about_ca_system_score_gemma":0.0006723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107587,"about_ca_topic_score_gemma":0.00259634,"domain_scores_codex":[0.9993963,0.00006940635,0.00006812911,0.0001819089,0.0001870395,0.00009713398],"domain_scores_gemma":[0.9996336,0.0000942985,0.00008078573,0.0000972656,0.00004080278,0.00005336556],"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":[0.00003518506,0.00001462049,0.00003868014,0.0000380663,0.00000446235,0.00005058133,0.00002773979,0.00010278,0.9966969,0.0007460366,0.0001482621,0.002096646],"study_design_scores_gemma":[0.000009682965,0.0000341369,0.0004318884,0.000007295388,0.00001236686,0.0001097985,0.00001402715,0.001256675,0.9906096,0.000318474,0.007181188,0.00001487403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6333069,0.002561414,0.3321005,0.001247183,0.0009411331,0.0007487973,0.003363491,0.005638176,0.02009234],"genre_scores_gemma":[0.8845522,0.001294288,0.09686214,0.0003675511,0.00005498682,0.0003674855,0.002651959,0.0008030174,0.01304644],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001659583,"threshold_uncertainty_score":0.00644964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089170460680644,"score_gpt":0.3531932554772508,"score_spread":0.3323015508704444,"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."}}