{"id":"W2223567094","doi":"10.1002/0471142905.hg2104s88","title":"Efficient CRISPR/Cas9‐Based Genome Engineering in Human Pluripotent Stem Cells","year":2016,"lang":"en","type":"article","venue":"Current Protocols in Human Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute for Health and Care Research; Canadian Institutes of Health Research; National Institutes of Health; Broad Institute; National Heart, Lung, and Blood Institute; Gladstone Institutes","keywords":"CRISPR; Genome editing; Induced pluripotent stem cell; Transcription activator-like effector nuclease; Biology; Zinc finger nuclease; Genome engineering; Computational biology; Cas9; Genome; Embryonic stem cell; Genetics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003162778,0.000378081,0.0002932215,0.0002421262,0.00006350165,0.00004075967,0.0004612849,0.0001805324,0.00002946987],"category_scores_gemma":[0.00001306046,0.0003443531,0.0001232587,0.0001787547,0.00006427224,0.000002564944,0.0002134108,0.0002035496,0.000009567415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254827,"about_ca_system_score_gemma":0.00006230404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002757748,"about_ca_topic_score_gemma":0.00001878881,"domain_scores_codex":[0.9977225,0.00006081592,0.0006425452,0.0006692607,0.0002621379,0.0006427481],"domain_scores_gemma":[0.9989642,0.00001551627,0.0001037485,0.0006986608,0.0000645406,0.0001533654],"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":[0.00001842686,0.0002205919,0.002890982,0.0002051966,0.000007976964,0.000007147933,0.00005432595,0.1288597,0.8653021,0.00004302024,0.00003944211,0.002351068],"study_design_scores_gemma":[0.003493935,0.0005108165,0.01174982,0.0005343008,0.00001053183,0.000002808113,0.00001423924,0.00451087,0.9559239,0.00001943477,0.02250356,0.00072575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565771,0.0007355994,0.02620099,0.00001718058,0.0001826992,0.01617227,0.00002098582,0.00003884236,0.00005434252],"genre_scores_gemma":[0.9856283,0.0000245222,0.0004505565,0.00001424427,0.0002460324,0.01345745,0.00001773439,0.00007315194,0.00008799694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1243488,"threshold_uncertainty_score":0.9999009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630001398569107,"score_gpt":0.3414671436948586,"score_spread":0.3151671297091675,"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."}}