{"id":"W4394790116","doi":"10.1101/2024.04.10.588881","title":"Seed sequences mediate off-target activity in the CRISPR-interference (CRISPRi) system","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada)","funders":"Genentech","keywords":"CRISPR; CRISPR interference; Interference (communication); Computational biology; Computer science; Chemistry; Biology; Genetics; Genome editing; Computer network; 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":[0.0004895101,0.0004368209,0.000660659,0.0003267303,0.0002607581,0.0007603061,0.0003484395,0.0005445604,0.00142846],"category_scores_gemma":[0.0008218211,0.0002771576,0.0003488109,0.0001717639,0.0003924578,0.0003152244,0.0007584669,0.0008724852,0.0009453213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522312,"about_ca_system_score_gemma":0.0002955122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003966378,"about_ca_topic_score_gemma":0.0003810118,"domain_scores_codex":[0.9991598,0.0002075189,0.00007781493,0.0001513128,0.0002890205,0.0001145053],"domain_scores_gemma":[0.999348,0.0002540867,0.0001328232,0.0001110607,0.00008574941,0.00006828114],"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":[0.00003578704,0.00001426933,0.0002919362,0.00003831866,0.000005374432,0.00007222525,0.00001286025,0.0001481813,0.9977291,0.0003796748,0.00005179818,0.001220541],"study_design_scores_gemma":[0.000003920306,0.00004608986,0.001272214,0.000005293412,0.000007650477,0.0002020634,0.00001216804,0.001604458,0.995285,0.000201753,0.001354656,0.00000481299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925028,0.001230772,0.06264946,0.0001702162,0.0001110597,0.00008671122,0.0004933827,0.0006785468,0.009551863],"genre_scores_gemma":[0.9856662,0.0002529668,0.0106748,0.0001069396,0.000009726876,0.00003378322,0.0004795184,0.00009355142,0.002682406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00142846,"threshold_uncertainty_score":0.004778683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016012773262677,"score_gpt":0.2547905742150947,"score_spread":0.2446304464824679,"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."}}