{"id":"W2954425512","doi":"10.1038/s41467-019-10828-3","title":"An anionic human protein mediates cationic liposome delivery of genome editing proteins into mammalian cells","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; National Human Genome Research Institute; Defense Advanced Research Projects Agency; U.S. Department of Health and Human Services; National Institutes of Health; Howard Hughes Medical Institute; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Bill and Melinda Gates Foundation; NIH Office of the Director; U.S. Department of Defense","keywords":"Genome editing; Cationic polymerization; Liposome; Cationic liposome; Genome; Computational biology; Cell biology; Chemistry; Biology; Transfection; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117211,0.0001493986,0.0001549668,0.000087137,0.0001903468,0.00003067027,0.001295371,0.0003475021,0.00004247263],"category_scores_gemma":[0.00002970078,0.0001526757,0.00008671635,0.0001505815,0.0001169147,0.0000216233,0.0003106835,0.0004045248,0.00004567848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978048,"about_ca_system_score_gemma":0.000120674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001399737,"about_ca_topic_score_gemma":0.0009512837,"domain_scores_codex":[0.9989475,0.0001400291,0.0003036531,0.0002828489,0.0001413696,0.0001845952],"domain_scores_gemma":[0.997403,0.00001393638,0.0002052064,0.001969367,0.0003392512,0.0000692371],"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":[0.000009864684,0.0001294465,0.001377038,0.0000283365,0.00003340077,1.674381e-7,0.0001630063,0.00003154008,0.9971616,0.0006995616,0.0001173577,0.0002486698],"study_design_scores_gemma":[0.0003631008,0.0006516649,0.007449785,0.00006150977,0.00002697013,0.000003152392,0.0003640879,0.0001205839,0.9781802,0.0003537115,0.01212374,0.0003015466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947578,0.003444652,0.00003101473,0.0003602699,0.00009675404,0.000615784,0.00003918681,0.00002010792,0.0006344139],"genre_scores_gemma":[0.9952509,0.000240018,0.002777206,0.0001308246,0.000172362,0.0001012517,0.00100223,0.00002475953,0.000300447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898146,"threshold_uncertainty_score":0.6225932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00913465662998007,"score_gpt":0.2680945525199668,"score_spread":0.2589598958899867,"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."}}