{"id":"W4312114042","doi":"10.1038/s41592-022-01705-x","title":"Efficient combinatorial targeting of RNA transcripts in single cells with Cas13 RNA Perturb-seq","year":2022,"lang":"en","type":"article","venue":"Nature Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; National Human Genome Research Institute; York University; National Cancer Institute; National Institutes of Health; Cancer Research Institute","keywords":"RNA-Seq; RNA; Computational biology; Biology; Gene expression; Genetics; Transcriptome; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006839487,0.0001455489,0.0001978554,0.00007214595,0.0000591311,0.00000639549,0.0001813034,0.0001667007,0.00002248681],"category_scores_gemma":[0.00007874912,0.0001345979,0.00007821219,0.0002259456,0.00003850632,8.310254e-7,0.00007822934,0.0004623728,1.276794e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136275,"about_ca_system_score_gemma":0.00004527696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002085382,"about_ca_topic_score_gemma":0.000005431226,"domain_scores_codex":[0.9988565,0.0002260609,0.0002041127,0.0002910941,0.0001958507,0.0002263963],"domain_scores_gemma":[0.9995885,0.0000424437,0.00005690542,0.0002162355,0.00004798124,0.00004789778],"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":[0.0001287147,0.0001162492,0.00005473474,0.00003023403,0.00002084113,0.000007305752,0.0003301429,0.03855837,0.9584254,0.00006977747,0.000192593,0.002065639],"study_design_scores_gemma":[0.0008981673,0.000416769,0.0001341573,0.000009504583,0.00001784452,0.000009030677,0.0002566418,0.00141281,0.9831195,0.00003360599,0.01351037,0.0001815199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557522,0.006119645,0.03500259,0.00006579401,0.001591936,0.0002177781,0.00002184187,0.00001258991,0.001215655],"genre_scores_gemma":[0.9493392,0.00001067567,0.05031878,0.00006681067,0.0001243317,0.00001645753,0.0000230744,0.00002575436,0.0000749368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03714556,"threshold_uncertainty_score":0.5488741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00695308687565568,"score_gpt":0.3137773988545733,"score_spread":0.3068243119789177,"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."}}