{"id":"W4404107291","doi":"10.1016/j.xgen.2024.100693","title":"Seed sequences mediate off-target activity in the CRISPR-interference system","year":2024,"lang":"en","type":"article","venue":"Cell Genomics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada)","funders":"Genentech","keywords":"CRISPR; Interference (communication); RNA interference; Computational biology; Biology; Chemistry; Cell biology; Computer science; Genetics; Telecommunications; RNA; Gene","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":[0.0002409364,0.0001198877,0.00009372593,0.00003334379,0.00002958535,0.00005724891,0.0002472695,0.00008489055,0.000004029196],"category_scores_gemma":[0.000008880121,0.00009265674,0.00005762934,0.00007805262,0.00002850488,0.000002600358,0.00006130405,0.0001202768,0.00002278444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003078038,"about_ca_system_score_gemma":0.00006528515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002059696,"about_ca_topic_score_gemma":0.00003183913,"domain_scores_codex":[0.9993287,0.00004103879,0.000121629,0.0002532708,0.00006435847,0.0001910288],"domain_scores_gemma":[0.9996679,0.00002287699,0.00001836778,0.0002440306,0.00001311934,0.00003369848],"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":[0.00001455714,0.00001361078,0.0003441083,0.0001579839,0.00001504507,0.00002042914,0.000511012,0.002389264,0.9948884,0.00004849991,0.0003383496,0.001258707],"study_design_scores_gemma":[0.0001748406,0.0001098857,0.001468061,0.00004365989,0.0000213186,0.00004114774,0.001047248,0.01492615,0.9501451,0.0000455451,0.0317142,0.000262796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972741,0.006770441,0.01688487,0.0001007087,0.0005296798,0.0001569715,0.00001926055,0.00002379525,0.002773285],"genre_scores_gemma":[0.9986897,0.0004329415,0.0003498967,0.00004587618,0.0002220681,0.00001862527,0.00001751892,0.0000161021,0.0002072764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04474328,"threshold_uncertainty_score":0.3778432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008048707273655628,"score_gpt":0.2594907858729802,"score_spread":0.2514420785993245,"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."}}