{"id":"W3124889412","doi":"10.1126/sciadv.abc3791","title":"Safe harbor-targeted CRISPR-Cas9 homology-independent targeted integration for multimodality reporter gene-based cell tracking","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"CRISPR; Cas9; Computational biology; Bioluminescence imaging; Reporter gene; Biology; Gene; Biodistribution; Genome editing; Gene targeting; Bioinformatics; In vivo; Genetics; Luciferase; Gene expression","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":[0.0004719037,0.0001698964,0.0001558941,0.00006365872,0.0002228525,0.00006384225,0.0002392608,0.0000959391,0.00001933202],"category_scores_gemma":[0.0003672963,0.0001624527,0.000105918,0.0002535826,0.000178619,0.00002783037,0.00005607496,0.00007994607,0.000002124538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003327624,"about_ca_system_score_gemma":0.0003092997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008326895,"about_ca_topic_score_gemma":0.00007167546,"domain_scores_codex":[0.9983607,0.00002954621,0.0002947484,0.0006864353,0.0002381951,0.0003904001],"domain_scores_gemma":[0.9989615,0.00002232268,0.0001142104,0.0004137211,0.0003832075,0.0001050357],"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":[0.00003426768,0.00004954854,0.0008967913,0.0000224071,0.000005271177,0.000008267214,0.00003579984,0.005549004,0.9865964,0.000007294842,0.00004302208,0.006751921],"study_design_scores_gemma":[0.0004216258,0.0001312527,0.004218524,0.000009581697,0.00001383964,0.00001111684,0.0001287462,0.002858442,0.9871343,0.00008197586,0.004771306,0.0002193236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5738316,0.003663378,0.421222,0.0001328659,0.0006521373,0.0002460682,0.00003143205,0.00002516138,0.000195348],"genre_scores_gemma":[0.9538561,0.00004311126,0.04544201,0.0001915375,0.0001251409,0.00005060985,0.0001103419,0.000014619,0.0001665429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3800245,"threshold_uncertainty_score":0.6624628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141972393041166,"score_gpt":0.3177280555144056,"score_spread":0.3063083315839939,"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."}}