{"id":"W4313454447","doi":"10.1038/s41587-022-01516-7","title":"CRISPR-edited plants by grafting","year":2023,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"CRISPR; Grafting; Biology; Computational biology; Chemistry; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001032807,0.0001474659,0.0001190447,0.0001379383,0.00006111393,0.000009569394,0.0002562484,0.001353183,0.00000970493],"category_scores_gemma":[0.000145369,0.000146049,0.00005124301,0.0002905825,0.00005592273,0.000001270496,0.0001628277,0.000448328,0.00005518345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006787879,"about_ca_system_score_gemma":0.00001359969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000401516,"about_ca_topic_score_gemma":0.000007709848,"domain_scores_codex":[0.9990516,0.00001127695,0.0001289934,0.0003665049,0.00009307307,0.0003485867],"domain_scores_gemma":[0.9995394,0.00001088696,0.00003171255,0.000349294,0.00002236448,0.0000463375],"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":[0.00001013184,0.000008843256,0.0001652663,0.000007283458,0.00002537715,0.000008128865,0.000006000284,0.00002358393,0.895646,0.000113221,0.09925411,0.004732103],"study_design_scores_gemma":[0.0001892082,0.00006205383,0.0003217391,0.000004533633,0.000003798791,0.00001917496,0.00003312158,0.0001219209,0.6817299,0.00004599015,0.317339,0.0001296087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853264,0.005184493,0.004245182,0.002755412,0.001006754,0.000172892,0.00009003902,0.0005508281,0.000668016],"genre_scores_gemma":[0.9969147,0.0007772555,0.0004251548,0.000301814,0.0002355816,0.00001359368,0.0003902249,0.00003066177,0.0009109945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2180849,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003694196179452568,"score_gpt":0.2829332200758302,"score_spread":0.2792390238963777,"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."}}