{"id":"W4200519472","doi":"10.1021/acsagscitech.1c00243","title":"Evaluation of Factors Affecting <i>In Planta</i> Gene Editing Efficiency in Wheat (<i>Triticum aestivum</i> L.)","year":2021,"lang":"en","type":"article","venue":"ACS Agricultural Science & Technology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Western Grains Research Foundation","keywords":"Biology; RNA editing; Genome editing; Guide RNA; Gene; Genetically modified crops; Biotechnology; Computational biology; CRISPR; Genetics; Transgene; Gene expression","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":[0.000592333,0.0004915243,0.0004360309,0.0003139287,0.0001983277,0.0007174145,0.0002236229,0.0003802619,0.001070344],"category_scores_gemma":[0.0006557076,0.0002132264,0.0004628034,0.0002142623,0.000251901,0.0003270513,0.0002620863,0.0007144511,0.0003878573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004430991,"about_ca_system_score_gemma":0.0002649722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037594,"about_ca_topic_score_gemma":0.001505336,"domain_scores_codex":[0.9994606,0.00008672605,0.00007853388,0.0001725397,0.0001293251,0.0000723437],"domain_scores_gemma":[0.9993442,0.0001880627,0.0002521291,0.00006450896,0.00008795158,0.0000632919],"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":[0.00002673035,0.000009799722,0.0003950678,0.00003624779,0.000007175636,0.00001356203,0.000008828229,0.00005187748,0.9982582,0.00001908465,0.0000164048,0.001157041],"study_design_scores_gemma":[0.000005109714,0.000310881,0.01708551,0.000007977831,0.00006144795,0.0001417027,0.00004177642,0.001075219,0.9794292,0.00004374429,0.001781728,0.00001558674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845504,0.001568315,0.0108527,0.0001337851,0.00004529835,0.00007739557,0.001203248,0.0003581911,0.001210585],"genre_scores_gemma":[0.9889203,0.0006867307,0.006881232,0.0001646495,0.000008166064,0.00004775351,0.001710325,0.0001527135,0.001428203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001070344,"threshold_uncertainty_score":0.003580689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009184281228489003,"score_gpt":0.2795696470317962,"score_spread":0.2703853658033072,"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."}}