{"id":"W2982038705","doi":"10.1038/s41467-019-12829-8","title":"Genome-wide microhomologies enable precise template-free editing of biologically relevant deletion mutations","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; McGill University","funders":"Japan Agency for Medical Research and Development; Compute Canada; Genome Canada","keywords":"Genome editing; Biology; Genetics; Computational biology; Gene; Homologous recombination; Cas9; CRISPR; Nuclease; DNA repair; Human genome; Genome","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":[0.0004799496,0.0003336743,0.0005331554,0.0005457997,0.0002202486,0.0005938134,0.0003910783,0.0005033121,0.001705861],"category_scores_gemma":[0.0005565576,0.0002366368,0.0004316714,0.0004654704,0.0002218198,0.0003039478,0.0005473687,0.0007401797,0.0008804612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218696,"about_ca_system_score_gemma":0.0001761385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001947175,"about_ca_topic_score_gemma":0.0008417376,"domain_scores_codex":[0.9995521,0.00005339369,0.0000422967,0.000114492,0.000190222,0.00004760559],"domain_scores_gemma":[0.9996364,0.00009838962,0.0001189713,0.00007445361,0.00003322863,0.0000385497],"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":[0.00006223168,0.0000202374,0.001003921,0.0001043449,0.00002553121,0.0001199586,0.00001736762,0.000788113,0.9828363,0.0004740832,0.0002997502,0.01424823],"study_design_scores_gemma":[0.00001351755,0.0001629553,0.006754247,0.00001676566,0.00004559564,0.001352517,0.00002711855,0.002276699,0.9676785,0.0004202064,0.02123272,0.00001923888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195218,0.00764599,0.149909,0.0004404325,0.0001907637,0.0003212016,0.009164239,0.003543441,0.009262998],"genre_scores_gemma":[0.9146211,0.0037057,0.06958623,0.0002074662,0.00004112184,0.0001527796,0.00718012,0.0003639685,0.004141558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001705861,"threshold_uncertainty_score":0.005706668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009843258708605812,"score_gpt":0.2900856849351077,"score_spread":0.2802424262265019,"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."}}