{"id":"W2984255992","doi":"10.1186/s12870-019-2097-z","title":"WheatCRISPR: a web-based guide RNA design tool for CRISPR/Cas9-mediated genome editing in wheat","year":2019,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; Agriculture and Agri-Food Canada; Plant Biotechnology Institute; National Research Council Canada","funders":"National Research Council Canada","keywords":"CRISPR; Guide RNA; Genome editing; Biology; Cas9; Computational biology; Genome; Gene; Genetics","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":[0.0008667351,0.001155842,0.0007272142,0.0009079168,0.0003733421,0.0006416182,0.001185039,0.000884874,0.007112951],"category_scores_gemma":[0.001084106,0.0007603336,0.001017432,0.0005296034,0.0002435426,0.0005848249,0.0008244633,0.001451425,0.003823454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034704,"about_ca_system_score_gemma":0.0005336999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000824005,"about_ca_topic_score_gemma":0.001414842,"domain_scores_codex":[0.999567,0.00004350813,0.00005211365,0.0001269281,0.000171279,0.00003930527],"domain_scores_gemma":[0.9996173,0.0001677457,0.00008168976,0.00003903716,0.00005089075,0.00004318156],"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":[0.002517929,0.0006896418,0.007831168,0.00282569,0.000611129,0.002209149,0.0005603381,0.03431882,0.6179774,0.004026005,0.07155801,0.2548748],"study_design_scores_gemma":[0.000977849,0.001307135,0.01122385,0.0002892911,0.0003216512,0.00319225,0.0001347806,0.1903289,0.5888674,0.006390661,0.1965617,0.00040459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.09456453,0.001337712,0.6088806,0.0004483677,0.0002554719,0.0007408697,0.02713557,0.2621631,0.004473694],"genre_scores_gemma":[0.2037994,0.001121154,0.7364119,0.0007158219,0.0000540911,0.001409361,0.03416894,0.01413861,0.008180773],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007112951,"threshold_uncertainty_score":0.02379519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146470907566736,"score_gpt":0.2937210696753137,"score_spread":0.2790739789186401,"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."}}