{"id":"W2907976376","doi":"10.1007/978-1-4939-8991-1_21","title":"Gene Replacement by Intron Targeting with CRISPR-Cas9","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"CRISPR; Genome editing; Cas9; Gene; Intron; Biology; Genetics; Computational biology; Homology directed repair; Genome; Gene knockout; DNA; Gene targeting; Homology (biology); Homologous recombination; DNA repair; Nucleotide excision repair","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000919792,0.0009845603,0.00111714,0.0007214002,0.0005771803,0.001019906,0.001421524,0.001276651,0.004062919],"category_scores_gemma":[0.0005916542,0.0006976922,0.0009651207,0.0005100515,0.0009846915,0.0005184389,0.001075144,0.002979993,0.004114775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379228,"about_ca_system_score_gemma":0.0006872323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006221214,"about_ca_topic_score_gemma":0.001163444,"domain_scores_codex":[0.9987558,0.0001583328,0.0001611436,0.0003739985,0.0003438457,0.0002069657],"domain_scores_gemma":[0.9995219,0.00009750613,0.0001019891,0.0001457742,0.0000469917,0.00008598291],"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":[0.00008688217,0.00004763248,0.0001168362,0.00005957712,0.00001330223,0.0001246327,0.00003611413,0.0001582507,0.9946872,0.001187337,0.0003222224,0.003160065],"study_design_scores_gemma":[0.00002597562,0.00004960638,0.0003079069,0.000006040465,0.00002004275,0.0002803235,0.0000128613,0.001715877,0.9863885,0.0001736659,0.01100552,0.00001368221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.514574,0.001587949,0.4475264,0.0009717402,0.001237833,0.001286453,0.003413663,0.01020907,0.01919302],"genre_scores_gemma":[0.8177049,0.0008782817,0.1412596,0.0003845037,0.0000449193,0.0005876216,0.003432259,0.001996857,0.03371116],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004062919,"threshold_uncertainty_score":0.01359183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00591489628406061,"score_gpt":0.3773505685823677,"score_spread":0.3714356722983071,"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."}}