{"id":"W2970071674","doi":"10.1016/j.cell.2019.07.046","title":"Anti-CRISPR-Associated Proteins Are Crucial Repressors of Anti-CRISPR Transcription","year":2019,"lang":"en","type":"article","venue":"Cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":162,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Biology; CRISPR; Gene; Repressor; Transcription (linguistics); Genetics; Promoter; DNA; Transcription factor; Genome; CRISPR interference; DNA-binding protein; Conserved sequence; Cell biology; Computational biology; Cas9; Gene expression; Peptide sequence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001264484,0.0001572739,0.0002400135,0.00004519099,0.00003148077,0.00001232349,0.000166075,0.000195255,0.00005568946],"category_scores_gemma":[0.00003253551,0.0001635767,0.0001384482,0.00009545031,0.00003046558,0.000003961749,0.00004180465,0.0001000403,0.00002186376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009653824,"about_ca_system_score_gemma":0.00003455617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003289918,"about_ca_topic_score_gemma":0.00001482332,"domain_scores_codex":[0.9990072,0.00003521184,0.0002440729,0.0003339764,0.0001379454,0.0002415999],"domain_scores_gemma":[0.9993714,0.000004983941,0.0001139164,0.0003686675,0.00008403519,0.00005701502],"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":[0.00002070463,0.0001086898,0.006791169,0.00009286525,0.00002799591,0.000001746521,0.00009444407,0.001154879,0.9910141,0.000004345166,0.0005751888,0.0001139359],"study_design_scores_gemma":[0.0007434439,0.0001525647,0.02965566,0.00003812454,0.00002609431,0.000001717768,0.00009694102,0.000179226,0.9646497,0.00001046706,0.004251589,0.0001944866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943883,0.0008247548,0.00251315,0.00004051017,0.0003463047,0.0003538602,0.00003388048,0.00002205415,0.001477225],"genre_scores_gemma":[0.9980998,0.000165758,0.0002470088,0.0000345435,0.0001060352,0.00001047263,0.00007291081,0.00003041526,0.001233047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02636435,"threshold_uncertainty_score":0.6670463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006435162014956998,"score_gpt":0.2480002351669575,"score_spread":0.2415650731520005,"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."}}