{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009533651,0.0007877403,0.0006622173,0.0009044209,0.0003053102,0.0008590876,0.001028678,0.0008430142,0.005136609],"category_scores_gemma":[0.0005516617,0.000540743,0.0005186932,0.0003125187,0.0005503029,0.0005892321,0.001086882,0.0013701,0.002944951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530798,"about_ca_system_score_gemma":0.0005108358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000485092,"about_ca_topic_score_gemma":0.00100397,"domain_scores_codex":[0.9992705,0.0001012103,0.0000626511,0.0001689824,0.0003310311,0.00006563669],"domain_scores_gemma":[0.9995772,0.00007816986,0.00012261,0.00008488472,0.00005751661,0.00007952696],"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":[0.00006261198,0.00003234662,0.0001196274,0.0001143896,0.00001467984,0.0001571587,0.00003401584,0.0004008749,0.9869958,0.001457423,0.001118529,0.009492664],"study_design_scores_gemma":[0.0000260762,0.0001572086,0.0005801202,0.00002845973,0.00002148325,0.0007771926,0.00001603404,0.004259109,0.9657674,0.000682638,0.02765732,0.00002707418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045475,0.003366352,0.873616,0.0005436162,0.0004434677,0.0006075992,0.002450164,0.008321169,0.006104143],"genre_scores_gemma":[0.4075488,0.003197305,0.5603306,0.0003205485,0.00008090279,0.001287829,0.003436976,0.001019995,0.02277717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005136609,"threshold_uncertainty_score":0.01718366,"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."}}