{"id":"W4388895525","doi":"10.1093/jxb/erad471","title":"A CRISPR/Cas9-based vector system enables the fast breeding of selection-marker-free canola with <i>Rcr1</i>-rendered clubroot resistance","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Botany","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Sugar Research and Development Corporation","keywords":"Canola; Biology; Clubroot; Marker-assisted selection; Brassica rapa; Biotechnology; Brassica; Genetically modified crops; Genetics; CRISPR; Selection (genetic algorithm); Molecular breeding; Plant disease resistance; Gene; Genetic marker; Agronomy; Transgene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003036087,0.0007041104,0.0004070096,0.0005453892,0.0003412521,0.0005348792,0.0005513069,0.0005562993,0.002173473],"category_scores_gemma":[0.0002744563,0.0003540876,0.0004741708,0.0002769777,0.0002904116,0.0003233788,0.000530481,0.001236643,0.001353093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458541,"about_ca_system_score_gemma":0.000363666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211353,"about_ca_topic_score_gemma":0.002474893,"domain_scores_codex":[0.999684,0.00002942035,0.00003659592,0.0001016437,0.0001069318,0.00004154635],"domain_scores_gemma":[0.9997901,0.00004169064,0.00006454852,0.00004883286,0.00001993327,0.00003484656],"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":[0.00002773989,0.000009603643,0.0001034602,0.00004732857,0.000007703325,0.00008568724,0.00001905582,0.00007450183,0.9960431,0.0002088477,0.00007633817,0.003296595],"study_design_scores_gemma":[0.00001266317,0.00008765366,0.001859463,0.00001315068,0.00004208032,0.0005493275,0.0000252964,0.00165299,0.9804536,0.000109798,0.01517077,0.00002327822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7769138,0.002163209,0.1972123,0.0004621172,0.0002583542,0.0005443959,0.003700435,0.007152693,0.01159271],"genre_scores_gemma":[0.8729411,0.001758642,0.0986302,0.0002411875,0.00003830908,0.0003035134,0.006978967,0.001040238,0.01806794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002173473,"threshold_uncertainty_score":0.007271051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319746555821682,"score_gpt":0.2200678844749837,"score_spread":0.2068704189167669,"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."}}