{"id":"W4387516098","doi":"10.1101/pdb.top107688","title":"Design and Validation of Guide RNAs for CRISPR–Cas9 Genome Editing in Mosquitoes","year":2023,"lang":"en","type":"article","venue":"Cold Spring Harbor Protocols","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"CRISPR; Genome editing; Cas9; Guide RNA; Computational biology; Biology; Flexibility (engineering); Software deployment; Population; Gene; Computer science; Genetics; Software engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004907675,0.0001004125,0.0001279871,0.00007546037,0.00003442191,0.00002083454,0.000102702,0.00007732276,0.0000016988],"category_scores_gemma":[0.000170984,0.0001107433,0.00003335091,0.0001099584,0.000019453,0.000004261101,0.0000768054,0.000040808,0.000001142125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001100504,"about_ca_system_score_gemma":0.00003302574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006792158,"about_ca_topic_score_gemma":0.000001721853,"domain_scores_codex":[0.9992287,0.00002252482,0.000240353,0.0002298363,0.00007396317,0.0002046032],"domain_scores_gemma":[0.9996289,0.00003207636,0.00006092113,0.0001847086,0.00005487827,0.00003850251],"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":[0.00002687864,0.00001192262,0.0009791846,0.0001845266,0.00001026116,0.000001157747,0.00002742552,0.008148734,0.9901944,0.0001310123,0.00009723476,0.0001872663],"study_design_scores_gemma":[0.0005781037,0.0001571139,0.006784572,0.00007553626,0.000005275231,2.958467e-7,0.00001591846,0.002503326,0.9744231,0.00001862219,0.0153194,0.0001187523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5707667,0.0002065309,0.3763328,0.00008908933,0.0001112191,0.05235045,0.00001589078,0.00006702566,0.00006031806],"genre_scores_gemma":[0.9298171,0.00002715279,0.01782046,0.00002159867,0.0002934001,0.05186584,0.000006549966,0.00004502951,0.0001028674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3590504,"threshold_uncertainty_score":0.4515982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519565049128154,"score_gpt":0.3423804933421006,"score_spread":0.317184842850819,"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."}}