{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006237146,0.0005429084,0.0004347007,0.0005569535,0.0003327467,0.0008073201,0.0006074526,0.0007710191,0.00418782],"category_scores_gemma":[0.0003083601,0.0003864968,0.0004651434,0.0003725288,0.0003413557,0.0004341065,0.0006891178,0.0008225819,0.002549228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745947,"about_ca_system_score_gemma":0.000563225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006426662,"about_ca_topic_score_gemma":0.00236457,"domain_scores_codex":[0.9993893,0.00006956861,0.00006439238,0.000131495,0.0002639903,0.00008127223],"domain_scores_gemma":[0.9997686,0.0000500812,0.00006258121,0.00004775971,0.00003360898,0.00003742858],"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":[0.00003048222,0.00002058496,0.0001431696,0.00007134792,0.00001156051,0.0001029821,0.0000305632,0.0001735661,0.992961,0.0008019622,0.0003990348,0.005253639],"study_design_scores_gemma":[0.00000698418,0.0000921819,0.000654516,0.000005039553,0.00001363527,0.0004981604,0.0000108412,0.001318525,0.9886452,0.00009514109,0.008648473,0.00001140656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3975805,0.002882601,0.5772358,0.0004362082,0.0003038853,0.0007798882,0.004846856,0.004894303,0.01104001],"genre_scores_gemma":[0.7948079,0.001553946,0.1746271,0.0001784324,0.00002835942,0.0004635776,0.005473452,0.0004221134,0.02244512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00418782,"threshold_uncertainty_score":0.01400965,"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."}}