{"id":"W4386055654","doi":"10.1186/s43897-023-00065-0","title":"Efficient and transgene-free genome editing in banana using a REG-2 promoter–driven gene-deletion system","year":2023,"lang":"en","type":"letter","venue":"Molecular Horticulture","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Guangzhou Municipal Science and Technology Bureau; National Natural Science Foundation of China; Shanghai Jiao Tong University; University of Connecticut","keywords":"Transgene; Genome editing; Gene; Genome; Genetics; Computational biology; Biology","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":[0.0006154777,0.0004148095,0.0002423548,0.0001981243,0.0002411422,0.0004993301,0.0004811381,0.001201558,0.008246051],"category_scores_gemma":[0.0004053256,0.0001976543,0.0002755002,0.0001511915,0.0003177607,0.0003161363,0.0003517693,0.002207744,0.003192591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004300997,"about_ca_system_score_gemma":0.00024585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003149825,"about_ca_topic_score_gemma":0.0008098388,"domain_scores_codex":[0.9996753,0.00006688447,0.00001546142,0.00006878015,0.0001195061,0.00005411043],"domain_scores_gemma":[0.9997399,0.00008355433,0.00003982842,0.00005041756,0.00005271042,0.00003360238],"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":[0.0001695133,0.0000370845,0.00009820582,0.0003115506,0.00001799896,0.0004025344,0.00003211083,0.0003167128,0.954073,0.005010676,0.01733397,0.02219667],"study_design_scores_gemma":[0.00005086795,0.0001774592,0.0007007754,0.00003151476,0.00002700935,0.0007570457,0.00002664252,0.003021502,0.8081018,0.001879515,0.1851945,0.00003149352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2771316,0.02197803,0.4093968,0.07389218,0.0213374,0.0006193004,0.004717503,0.01271884,0.1782084],"genre_scores_gemma":[0.7844527,0.007765729,0.05192741,0.005921884,0.00100989,0.0001748621,0.002553067,0.0007339403,0.1454607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008246051,"threshold_uncertainty_score":0.0275858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007048768709130676,"score_gpt":0.2420136197941965,"score_spread":0.2349648510850658,"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."}}