{"id":"W4212872437","doi":"10.1186/s12896-022-00737-7","title":"An efficient and specific CRISPR-Cas9 genome editing system targeting soybean phytoene desaturase genes","year":2022,"lang":"en","type":"article","venue":"BMC Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Phytoene desaturase; CRISPR; Genome editing; Gene; Cas9; Genetics; Genome; Computational biology; Gene silencing","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":[0.0002729459,0.0005945165,0.0003822325,0.0002878826,0.0002323543,0.0003374027,0.0005192321,0.0004792888,0.001461938],"category_scores_gemma":[0.000156309,0.0002728897,0.0003455919,0.0001515951,0.000252782,0.0002147458,0.0004193966,0.0006240472,0.0008503575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141998,"about_ca_system_score_gemma":0.0003728992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009445556,"about_ca_topic_score_gemma":0.001696624,"domain_scores_codex":[0.9996808,0.00002463688,0.00004323305,0.0001080798,0.0001092298,0.00003404042],"domain_scores_gemma":[0.9998977,0.00001076833,0.00003524454,0.00001536938,0.00001623693,0.00002466889],"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":[0.00002430488,0.000009858833,0.00007438399,0.00003464486,0.000003943839,0.00003571308,0.000005532409,0.00006863353,0.9983618,0.00005290797,0.00007282773,0.001255534],"study_design_scores_gemma":[0.00002854064,0.0001984229,0.002341047,0.00001161616,0.0000332568,0.000693828,0.00001165025,0.003286003,0.9859684,0.00004015681,0.007367882,0.00001911973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.794326,0.001500456,0.1885857,0.000303859,0.0002012328,0.0007041573,0.005478087,0.002806667,0.006093878],"genre_scores_gemma":[0.8650035,0.0009117226,0.1160331,0.0001112005,0.0000192312,0.0003011887,0.007781297,0.0002309108,0.009607837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001461938,"threshold_uncertainty_score":0.004890621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007166046550000191,"score_gpt":0.2444570798837921,"score_spread":0.2372910333337919,"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."}}