{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837312,0.0004945773,0.0006096593,0.0002826378,0.0002067414,0.0006132085,0.000373679,0.0005320089,0.0009328563],"category_scores_gemma":[0.0006617908,0.0002749683,0.0003027184,0.0001338346,0.0003743008,0.000279404,0.0006316481,0.0006868817,0.0006969549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004077537,"about_ca_system_score_gemma":0.0002659522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003377944,"about_ca_topic_score_gemma":0.0004520874,"domain_scores_codex":[0.9992326,0.0001812317,0.00007159754,0.0001332439,0.0002798195,0.0001014834],"domain_scores_gemma":[0.9994337,0.0002292691,0.0001173214,0.00009522774,0.00006641808,0.00005809891],"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":[0.00002197626,0.00001023492,0.000205599,0.00002272282,0.000003789048,0.00005114869,0.00000948795,0.00007748925,0.9984457,0.0001741723,0.00001665968,0.0009610504],"study_design_scores_gemma":[0.000003317905,0.00005722926,0.002126812,0.000004031274,0.000008468851,0.0002121526,0.00001249278,0.001525226,0.9949808,0.0001299355,0.0009344264,0.000005228615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575151,0.0009581164,0.03522114,0.0000964138,0.00004742023,0.00005505314,0.0002319553,0.0003776517,0.005497251],"genre_scores_gemma":[0.9904664,0.0002880933,0.006916303,0.00008777337,0.000006413861,0.00002845698,0.0002895413,0.00005922589,0.001857818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009328563,"threshold_uncertainty_score":0.003120661,"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."}}