{"id":"W2906076582","doi":"10.1089/crispr.2018.0030","title":"Safe Harbor Targeted CRISPR-Cas9 Tools for Molecular-Genetic Imaging of Cells in Living Subjects","year":2018,"lang":"en","type":"article","venue":"The CRISPR Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Robarts Clinical Trials; Western University","funders":"","keywords":"CRISPR; Cas9; Biology; Reporter gene; Plasmid; Gene; Genome editing; Green fluorescent protein; Molecular biology; Genetics; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006122997,0.000200497,0.0002124619,0.00009892308,0.0001306122,0.0000807516,0.0003968558,0.00008422208,0.00005229972],"category_scores_gemma":[0.0003485689,0.0001651153,0.0001674911,0.0001370729,0.0001146374,0.00001041711,0.0001129651,0.0001934683,0.000004916074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002156204,"about_ca_system_score_gemma":0.00009646121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000135062,"about_ca_topic_score_gemma":0.00001852531,"domain_scores_codex":[0.9986078,0.0000934101,0.0004336069,0.0002438352,0.0001691745,0.0004522206],"domain_scores_gemma":[0.9990902,0.00008420601,0.0001509261,0.0003619991,0.0002113071,0.0001013929],"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":[0.00006657105,0.00003608477,0.000877118,0.00002623765,0.0000421909,0.000008544233,0.0002354109,0.0008419342,0.9933559,0.00001995423,0.001275119,0.00321491],"study_design_scores_gemma":[0.0005472117,0.0002298224,0.007009131,0.00008833516,0.00004424577,0.00008455517,0.000259383,0.001429362,0.9865109,0.0001033516,0.003471883,0.0002217602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8147185,0.003939484,0.1800223,0.0002186634,0.000526313,0.0002730209,0.0000153304,0.000007598534,0.0002788311],"genre_scores_gemma":[0.9928973,0.000241193,0.005934851,0.000228985,0.0005737499,0.00001473769,0.000003314915,0.00004464309,0.00006127264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1781788,"threshold_uncertainty_score":0.6733205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008250713597200513,"score_gpt":0.2878417624945897,"score_spread":0.2795910488973892,"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."}}