{"id":"W4412918610","doi":"10.3390/plants14152290","title":"RNA-Seq Identification of Peanut Callus-Specific Promoters and Evaluation of Base-Editing Efficiency.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Henan Provincial Science and Technology Research Project; National Key Research and Development Program of China","keywords":"Biology; Promoter; Callus; Gene; Guide RNA; RNA; Arachis hypogaea; Cauliflower mosaic virus; Genetics; Genome editing; CRISPR; Gene expression; Computational biology; Database; Genetically modified crops; Transgene; Botany","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":[0.0004189245,0.0006621655,0.0005028337,0.0005187335,0.0004156154,0.0006500655,0.0003672178,0.0003725532,0.001917281],"category_scores_gemma":[0.0004555501,0.0001967765,0.0004349598,0.0004435424,0.0003379236,0.0002476318,0.0003344727,0.0009634923,0.0009968181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801376,"about_ca_system_score_gemma":0.0007952729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003431723,"about_ca_topic_score_gemma":0.01086513,"domain_scores_codex":[0.9995141,0.00002678523,0.00003013885,0.0001821745,0.000181348,0.00006550248],"domain_scores_gemma":[0.9998042,0.00005929611,0.00003164697,0.00002168861,0.00005669693,0.00002644517],"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":[0.00005518841,0.00001116423,0.0003971124,0.0001082387,0.000009143085,0.00004414913,0.00002909132,0.000205116,0.9950197,0.0001517264,0.0001729524,0.003796448],"study_design_scores_gemma":[0.000007724578,0.00004106495,0.005566333,0.00001771972,0.00003373027,0.0001527247,0.00005301099,0.003166171,0.9824719,0.0001326695,0.008341148,0.00001577683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171012,0.004497323,0.2146999,0.0006144679,0.0006310556,0.0007582425,0.03350431,0.005173919,0.02301949],"genre_scores_gemma":[0.7905059,0.003349522,0.15035,0.0006066983,0.00004390878,0.0007308129,0.03399724,0.001197156,0.01921875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003431723,"threshold_uncertainty_score":0.00682354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596305196961265,"score_gpt":0.2819409367253042,"score_spread":0.2659778847556916,"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."}}