{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004155176,0.0009086122,0.0006350732,0.0006546716,0.0007960181,0.0008518614,0.001051915,0.0006875513,0.001123186],"category_scores_gemma":[0.00177546,0.0006727473,0.0008308748,0.0003804461,0.0005995604,0.0003597706,0.0005750692,0.001646303,0.001099067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009552608,"about_ca_system_score_gemma":0.001664729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986985,"about_ca_topic_score_gemma":0.003349035,"domain_scores_codex":[0.9978915,0.0004802172,0.0003367112,0.0002836564,0.000815742,0.0001922316],"domain_scores_gemma":[0.9991844,0.000179064,0.0001123542,0.0001618912,0.000276515,0.0000857806],"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":[0.00009117992,0.00009570275,0.000223522,0.0002019318,0.00002010756,0.0001897973,0.0001392299,0.002713698,0.9804315,0.001830664,0.000519592,0.01354314],"study_design_scores_gemma":[0.00002433918,0.0004037917,0.0003796784,0.00003163669,0.00002006211,0.0001514028,0.00003118511,0.002412377,0.9828394,0.0002024363,0.01347909,0.00002461674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3676692,0.002421378,0.6011573,0.0005726162,0.0004313606,0.008110744,0.004626099,0.00195737,0.01305393],"genre_scores_gemma":[0.2800004,0.003211693,0.6950039,0.0003065678,0.0000316074,0.002967734,0.006764346,0.0007024991,0.01101125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004155176,"threshold_uncertainty_score":0.02197492,"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."}}