{"id":"W4289550496","doi":"10.1186/s12951-022-01570-y","title":"Stimuli-responsive nanoformulations for CRISPR-Cas9 genome editing","year":2022,"lang":"en","type":"review","venue":"Journal of Nanobiotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"CRISPR; Genome editing; Cas9; Computational biology; Computer science; Biology; Genetics; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004548781,0.0003459124,0.001047094,0.0005348813,0.0001592396,0.00001919167,0.000635371,0.0008231434,0.00005968487],"category_scores_gemma":[0.0006894443,0.0003158932,0.0008165086,0.0002678981,0.0000670413,0.000004266326,0.0002706993,0.0006213585,0.000003363236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021864,"about_ca_system_score_gemma":0.0003927892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.263005e-7,"about_ca_topic_score_gemma":0.000001432057,"domain_scores_codex":[0.9981574,0.0000683682,0.0009316155,0.0003120528,0.0001543794,0.0003761188],"domain_scores_gemma":[0.9983509,0.0001278491,0.0008790356,0.0004089517,0.0001555931,0.00007766982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007296139,0.000104094,9.14651e-7,0.002829545,0.0009356278,0.00006050897,0.00003485331,0.0008797207,0.0164813,0.000209676,0.003557497,0.9748333],"study_design_scores_gemma":[0.0003562796,0.0008075676,5.978345e-7,0.0003083578,0.0004499165,0.001104456,0.00005680698,0.00001561105,0.001357817,0.0000462419,0.9952174,0.0002789442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007289895,0.9609618,0.03694352,0.000110313,0.001254936,0.0004925439,0.0001154498,0.00001720567,0.00003129752],"genre_scores_gemma":[0.0002160986,0.9935185,0.004763285,0.00003863438,0.0008901279,0.00006385279,0.0001529945,0.00008435001,0.000272173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9916599,"threshold_uncertainty_score":0.9999293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780789446699574,"score_gpt":0.3867352208935728,"score_spread":0.348927326426577,"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."}}