{"id":"W3206969215","doi":"10.3389/fpls.2021.751891","title":"Efficient Multi-Sites Genome Editing and Plant Regeneration via Somatic Embryogenesis in Picea glauca","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Genome editing; Somatic embryogenesis; CRISPR; Biology; Genome; Cas9; Gene; Mutant; Genetics; Somatic cell; Computational biology; Embryogenesis","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":[0.0002641701,0.0004212144,0.0003029526,0.0003652184,0.0002493599,0.0003044231,0.0003654405,0.000179407,0.0005473246],"category_scores_gemma":[0.0001113561,0.0001815718,0.0003427495,0.0002291717,0.0002047686,0.0001857592,0.0004037544,0.0004970647,0.0002460362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476441,"about_ca_system_score_gemma":0.0002217432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781608,"about_ca_topic_score_gemma":0.002825723,"domain_scores_codex":[0.9998387,0.00001725787,0.00001696785,0.00005786919,0.0000439852,0.00002523782],"domain_scores_gemma":[0.999938,0.000008449186,0.00001837995,0.0000102672,0.000008065238,0.00001682013],"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":[0.0000351942,0.00001648997,0.000278043,0.00005511717,0.000007940418,0.000138291,0.00004292705,0.0003283476,0.9946984,0.0002557166,0.00005363584,0.004089832],"study_design_scores_gemma":[0.00004118537,0.0003420369,0.01409906,0.00002506603,0.0000584171,0.0006643946,0.00007306547,0.0107182,0.9635726,0.0002680848,0.01010581,0.00003199009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450195,0.001916538,0.043877,0.00008702505,0.00006324431,0.0001590735,0.0009889895,0.001080601,0.006808104],"genre_scores_gemma":[0.9756252,0.0007990947,0.01660714,0.00004709349,0.000006818515,0.0001015396,0.0008917846,0.00009945469,0.005821766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001781608,"threshold_uncertainty_score":0.003542423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006753624513737241,"score_gpt":0.2395569788527447,"score_spread":0.2328033543390074,"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."}}