{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006485506,0.0006706847,0.0005459922,0.0009479355,0.0006010045,0.0007585291,0.001114581,0.001048682,0.003469498],"category_scores_gemma":[0.0007066631,0.000597293,0.0005625756,0.0005314894,0.000552962,0.0008617657,0.001102741,0.002468804,0.002668285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568497,"about_ca_system_score_gemma":0.0004844492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002209539,"about_ca_topic_score_gemma":0.0006208979,"domain_scores_codex":[0.9994181,0.00007648595,0.00006520141,0.0001342811,0.000248448,0.00005754827],"domain_scores_gemma":[0.9996399,0.00009034282,0.0001051445,0.00006965936,0.00003601123,0.00005897576],"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":[0.0000559145,0.00004244467,0.0001650413,0.0001923001,0.0000271323,0.000195247,0.00006132438,0.0001737906,0.9824277,0.001074501,0.0008805402,0.01470417],"study_design_scores_gemma":[0.0000269933,0.0001295116,0.000750552,0.00001825664,0.00004373113,0.001566655,0.00001767056,0.001361688,0.9655896,0.000311804,0.03014842,0.00003507601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08569621,0.002867655,0.8954208,0.0007239283,0.0004752952,0.0009005516,0.001143745,0.004861421,0.007910421],"genre_scores_gemma":[0.2446455,0.005332349,0.701942,0.0005622742,0.000155261,0.00192115,0.002885402,0.0016802,0.0408759],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003469498,"threshold_uncertainty_score":0.01160663,"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."}}