{"id":"W2809595124","doi":"10.1089/crispr.2017.0020","title":"TIE: A Method to Electroporate Long DNA Templates into Preimplantation Embryos for CRISPR-Cas9 Gene Editing","year":2018,"lang":"en","type":"article","venue":"The CRISPR Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Electroporation; CRISPR; Genome editing; Cas9; Microinjection; Plasmid; Biology; Endonuclease; Oligonucleotide; DNA; Template; Computational biology; Gene; Molecular biology; Cell biology; Genetics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0009107586,0.0001916863,0.0001614334,0.00007292668,0.0004504205,0.0001164269,0.0002921356,0.0001004224,0.00002378339],"category_scores_gemma":[0.0001583036,0.0001463281,0.0001102815,0.0001185868,0.00003908943,0.000009318168,0.00007985668,0.0001764488,0.00001360037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002852559,"about_ca_system_score_gemma":0.00005521252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001403118,"about_ca_topic_score_gemma":0.00004479236,"domain_scores_codex":[0.99876,0.00009219334,0.0003147569,0.0002575527,0.0001557628,0.000419693],"domain_scores_gemma":[0.9991491,0.0000421759,0.0001275602,0.0002458084,0.0002843129,0.0001510242],"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":[0.0001573999,0.00001393706,0.000110756,0.00002020772,0.00008938331,0.000004128782,0.0004592241,0.000487378,0.9729153,0.00001878734,0.01612514,0.009598347],"study_design_scores_gemma":[0.0004356356,0.0006124332,0.0004152495,0.00002130138,0.0000690134,0.000654195,0.0002639803,0.000924962,0.974973,0.0004904409,0.02093988,0.000199899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.281248,0.0004920714,0.7167304,0.00077396,0.0004189468,0.0002374726,0.000008216081,0.00001412406,0.00007683468],"genre_scores_gemma":[0.9375656,0.00009641938,0.05590537,0.0007860213,0.005218313,0.00004259283,0.00003785029,0.00005651043,0.0002913256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.660825,"threshold_uncertainty_score":0.5967088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210721544504288,"score_gpt":0.3676910347957183,"score_spread":0.3555838193506754,"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."}}