{"id":"W2964875256","doi":"10.1093/bioinformatics/btz616","title":"MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries","year":2019,"lang":"en","type":"article","venue":"Bioinformatics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"CRISPR; Cas9; RNA; Guide RNA; Computational biology; Genome; Computer science; Genome editing; Biology; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001846779,0.002669158,0.001710536,0.002256487,0.001018808,0.001478504,0.003011842,0.001179125,0.03661431],"category_scores_gemma":[0.002628283,0.002030983,0.001529134,0.00155068,0.0005041125,0.001203618,0.001709481,0.002228244,0.01841045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007776004,"about_ca_system_score_gemma":0.001497812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110008,"about_ca_topic_score_gemma":0.001984845,"domain_scores_codex":[0.9988531,0.0001411163,0.0001143272,0.0003033485,0.000473546,0.0001145645],"domain_scores_gemma":[0.999002,0.000481419,0.0001412141,0.0001077413,0.0001685731,0.00009892915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001969522,0.0003874936,0.003093001,0.004346463,0.0005461302,0.001798456,0.0007527248,0.01828165,0.3322967,0.01068962,0.1955217,0.4303165],"study_design_scores_gemma":[0.0005613329,0.0004500043,0.002255362,0.0002748636,0.0002270888,0.001657521,0.0001056193,0.09749181,0.5934257,0.007058787,0.2961252,0.0003667987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01025654,0.0007828907,0.7117475,0.0001994805,0.0001695722,0.0005503861,0.01406429,0.2568637,0.005365613],"genre_scores_gemma":[0.0340962,0.0007875675,0.8914107,0.0003904896,0.00003910645,0.001806036,0.02904626,0.03279529,0.009628396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03661431,"threshold_uncertainty_score":0.122487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517851861946565,"score_gpt":0.2964834650347261,"score_spread":0.2813049464152604,"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."}}