{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004431689,0.0008785868,0.0006975673,0.000641443,0.0004587657,0.001324481,0.0008006263,0.0008624283,0.004066088],"category_scores_gemma":[0.0005272902,0.0004974263,0.0005798803,0.0003251766,0.0007609867,0.0006409211,0.0007693208,0.002002264,0.003892568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006310669,"about_ca_system_score_gemma":0.0003591413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003882489,"about_ca_topic_score_gemma":0.0008844188,"domain_scores_codex":[0.9991811,0.0001006049,0.00006721381,0.0002356057,0.0002752572,0.0001402677],"domain_scores_gemma":[0.9992655,0.0001648783,0.0001835469,0.0001377904,0.00009436956,0.0001539497],"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":[0.00004628836,0.00001267925,0.0001226035,0.00002608579,0.000003769465,0.00005057181,0.00001004623,0.00003632332,0.9976943,0.0005811235,0.0001270469,0.001289014],"study_design_scores_gemma":[0.000003919323,0.00002019665,0.00109489,0.000002721243,0.000005036236,0.0002448798,0.00001053554,0.0005859522,0.9940374,0.0001633476,0.003825264,0.000005791439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7761688,0.005772667,0.1919026,0.001026481,0.0007006211,0.0001490226,0.003323533,0.00483125,0.01612495],"genre_scores_gemma":[0.9444221,0.0010137,0.03542847,0.0004807169,0.0000711872,0.0000873096,0.002899922,0.0009952673,0.01460129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004066088,"threshold_uncertainty_score":0.01360238,"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."}}