{"id":"W2944275418","doi":"10.1186/s13104-019-4207-2","title":"Mutagenesis of seed storage protein genes in Soybean using CRISPR/Cas9","year":2019,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Recruitment Program of Global Experts","keywords":"Gene; Storage protein; CRISPR; Biology; Mutagenesis; Transformation (genetics); Mutant; Genome editing; Agrobacterium; Cas9; Biotechnology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003615279,0.0005267808,0.0002587489,0.0002373038,0.0001756623,0.000224905,0.0003827453,0.0003358507,0.001102633],"category_scores_gemma":[0.0002190382,0.0001979693,0.0003557944,0.0001681907,0.0002934184,0.0001313165,0.0003370196,0.0004091275,0.0005255833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004943282,"about_ca_system_score_gemma":0.0003141737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587985,"about_ca_topic_score_gemma":0.002777608,"domain_scores_codex":[0.9997173,0.00003292092,0.00004724491,0.00007924894,0.00009596789,0.00002744305],"domain_scores_gemma":[0.99984,0.00003587617,0.00006443678,0.00001911448,0.0000158464,0.0000246277],"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":[0.00004706555,0.00001014372,0.0001825789,0.00004684058,0.00000511435,0.00005208077,0.0000109291,0.0001380757,0.9983058,0.0000624208,0.00003872695,0.001100345],"study_design_scores_gemma":[0.00002725639,0.0001606891,0.00308586,0.00001386748,0.00002851198,0.0003325085,0.0000261723,0.003009044,0.9886258,0.00005929595,0.004619531,0.00001161524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410309,0.000988848,0.05080413,0.0002095112,0.0001019756,0.000256793,0.002375142,0.0009266786,0.003306037],"genre_scores_gemma":[0.9529803,0.0005986121,0.03964283,0.00009481709,0.000006896001,0.000134854,0.00240289,0.0001881937,0.003950539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001587985,"threshold_uncertainty_score":0.003688633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07373390637663106,"score_gpt":0.4148229544215111,"score_spread":0.34108904804488,"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."}}