{"id":"W2400411104","doi":"10.1038/nmeth.3871","title":"Comparison of Cas9 activators in multiple species","year":2016,"lang":"en","type":"article","venue":"Nature Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":553,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"Activator (genetics); Cas9; Biology; Computational biology; Cooperativity; CRISPR; Gene expression; Gene; Cell biology; Regulation of gene expression; Transcription factor; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672719,0.0004624312,0.0009434346,0.0014015,0.0008672146,0.001973371,0.001422202,0.0008678388,0.005044773],"category_scores_gemma":[0.00314095,0.0003705482,0.0007364314,0.00106005,0.0004608964,0.00117548,0.0005849713,0.001348123,0.001181715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419153,"about_ca_system_score_gemma":0.0007381929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090861,"about_ca_topic_score_gemma":0.001590625,"domain_scores_codex":[0.998053,0.0002731851,0.0002735472,0.0003359114,0.0008108948,0.0002535286],"domain_scores_gemma":[0.9976488,0.0009604418,0.0002224394,0.0003485222,0.0006041188,0.000215672],"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":[0.001247819,0.0002615135,0.001301398,0.0004282974,0.0001390867,0.0001309034,0.00009992208,0.001376727,0.9704568,0.003672386,0.0008428217,0.02004245],"study_design_scores_gemma":[0.00008889728,0.0007780318,0.008746487,0.00003426129,0.0002021797,0.0006286055,0.0001626423,0.006736705,0.9660751,0.001123284,0.0153679,0.00005584508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396539,0.006991577,0.02928827,0.0003616975,0.0003362413,0.0002244504,0.002335071,0.001219758,0.01958908],"genre_scores_gemma":[0.9606755,0.002602176,0.02350625,0.0001934557,0.00002736267,0.0002127816,0.006431467,0.0004712978,0.005879605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005044773,"threshold_uncertainty_score":0.0168764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261591798199725,"score_gpt":0.4468460745435732,"score_spread":0.4206868947236007,"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."}}