{"id":"W3163881816","doi":"10.1002/leg3.96","title":"CRISPR/Cas9 gene editing in legume crops: Opportunities and challenges","year":2021,"lang":"en","type":"article","venue":"Legume Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada; Saskatchewan Research Council (Canada); University of Saskatchewan; University of Calgary; National Research Council Canada","funders":"Society of Pediatric Psychology","keywords":"Genome editing; Medicago truncatula; CRISPR; Biotechnology; Biology; Cas9; Food security; Legume; Gene; Agriculture; Genetics; Agronomy; Ecology; Symbiosis","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":[],"consensus_categories":[],"category_scores_codex":[0.0002941676,0.0001074034,0.0001008738,0.0000653931,0.00009285389,0.00006191093,0.0001652221,0.00005761822,0.00001709068],"category_scores_gemma":[0.0001247675,0.000112928,0.000023185,0.0001427265,0.0002276728,0.00001284774,0.0002163788,0.00006955255,0.000003393627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076805,"about_ca_system_score_gemma":0.0001226154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001601948,"about_ca_topic_score_gemma":0.00008940985,"domain_scores_codex":[0.9989755,0.00001870954,0.0001357961,0.0004042998,0.0001596069,0.0003060663],"domain_scores_gemma":[0.9995322,0.000009034559,0.00002467602,0.0002553109,0.00007859708,0.0001001471],"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":[0.000003031082,0.00001968122,0.0008387951,0.00003933304,0.000004471671,0.00005628877,0.0003020955,0.0001322812,0.985543,0.0006041199,0.0001122918,0.01234466],"study_design_scores_gemma":[0.0002394243,0.00006007591,0.01007979,0.00003079269,0.000004501709,0.0001336781,0.001859335,0.0003809321,0.9482453,0.00006663185,0.03867922,0.0002203506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975867,0.0164302,0.001081476,0.001781693,0.0003739175,0.00006105442,0.000006418394,0.00001537925,0.004382864],"genre_scores_gemma":[0.9924558,0.004938847,0.001733842,0.0001623766,0.0002274749,0.000007151437,0.000008868936,0.00001007646,0.0004555483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03856693,"threshold_uncertainty_score":0.4605069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03627816345568864,"score_gpt":0.3051772843208067,"score_spread":0.2688991208651181,"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."}}