{"id":"W3102200920","doi":"10.1101/248179","title":"Homology Directed Repair by Cas9:Donor Co-localization in Mammalian Cells","year":2018,"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":"McGill University; Occupational Cancer Research Centre; William Osler Health System","funders":"Canadian Institutes of Health Research; Faculty of Medicine, McGill University; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Genome editing; CRISPR; Cas9; Homology directed repair; HEK 293 cells; DNA; Indel; Biology; Computational biology; Colocalization; Gene; Cell biology; Molecular biology; DNA repair; Genetics; Nucleotide excision repair","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":[0.0007723281,0.0003935904,0.0007209761,0.0003684268,0.0002993599,0.0009001683,0.0008067252,0.0008284801,0.002636116],"category_scores_gemma":[0.0003437921,0.0003032826,0.0003875938,0.0003639169,0.0003452652,0.0004153932,0.0005962492,0.001054757,0.002518108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006280186,"about_ca_system_score_gemma":0.0003754159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007954062,"about_ca_topic_score_gemma":0.0007472076,"domain_scores_codex":[0.9990025,0.0001375074,0.0001385544,0.0003412027,0.0003158093,0.00006441683],"domain_scores_gemma":[0.9997231,0.000050234,0.00006347019,0.00009095994,0.00004243619,0.00002975957],"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":[0.00006158635,0.00002299936,0.0001152514,0.00008216281,0.00001184675,0.00007293354,0.00002739618,0.0001909104,0.9952706,0.0008515987,0.0003565227,0.002936287],"study_design_scores_gemma":[0.00001215975,0.00004233782,0.0003038057,0.000006763573,0.000009926169,0.0002676537,0.000009060472,0.001310894,0.9862689,0.00009744047,0.01166442,0.000006667108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5588208,0.006521144,0.4011283,0.001090848,0.0006655821,0.0006152662,0.006115859,0.00596612,0.01907607],"genre_scores_gemma":[0.8770487,0.001733252,0.0974728,0.0002015492,0.00004313957,0.0003021119,0.004206119,0.0005870785,0.01840519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002636116,"threshold_uncertainty_score":0.008818626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006106561764290414,"score_gpt":0.2402448713186438,"score_spread":0.2341383095543534,"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."}}