{"id":"W2950114027","doi":"10.1534/genetics.119.302089","title":"<i>beditor</i> : A Computational Workflow for Designing Libraries of Guide RNAs for CRISPR-Mediated Base Editing","year":2019,"lang":"en","type":"article","venue":"Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Biology; Workflow; Genetics; Guide RNA; Computational biology; Base (topology); Genome editing; World Wide Web; Computer science; Database; Gene","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":[0.001464154,0.001906437,0.001185366,0.0009250014,0.0009777946,0.002032946,0.002879023,0.001006973,0.01578853],"category_scores_gemma":[0.002677223,0.000934459,0.001236516,0.0006903549,0.0005292141,0.0008748694,0.00139152,0.00153397,0.003975357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008976335,"about_ca_system_score_gemma":0.002536097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005386961,"about_ca_topic_score_gemma":0.008490994,"domain_scores_codex":[0.9996203,0.00008984651,0.00002881427,0.00009290527,0.0001178997,0.00005018555],"domain_scores_gemma":[0.9988844,0.0005968172,0.00007473588,0.0001309445,0.0002041663,0.000108825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001386276,0.0005159572,0.008712137,0.00143613,0.0006148077,0.001120872,0.0004603159,0.5909441,0.04482741,0.03104081,0.1018365,0.2171046],"study_design_scores_gemma":[0.0001767061,0.00006844421,0.0004282633,0.00003512397,0.00004003402,0.00008848785,0.00004418732,0.952653,0.02071826,0.007777268,0.01789991,0.00007026599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01978939,0.0001100579,0.8769816,0.0002259354,0.0001074808,0.000302974,0.006103252,0.08910447,0.007274777],"genre_scores_gemma":[0.1351169,0.0002484343,0.8343458,0.0004156226,0.00004333757,0.001485973,0.01194065,0.01097916,0.005424147],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01578853,"threshold_uncertainty_score":0.05281788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009182172179352601,"score_gpt":0.2785637669332133,"score_spread":0.2693815947538607,"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."}}