{"id":"W2577803396","doi":"10.1128/msphere.00340-16","title":"Optimized CRISPR-Cas9 Genome Editing for <i>Leishmania</i> and Its Use To Target a Multigene Family, Induce Chromosomal Translocation, and Study DNA Break Repair Mechanisms","year":2017,"lang":"en","type":"article","venue":"mSphere","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Biology; CRISPR; Genome editing; Cas9; Genetics; Gene; Guide RNA; Recombinase; Homologous recombination","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":[0.0002252423,0.0005707535,0.0004136111,0.0003723495,0.0002677666,0.0004182112,0.0004907994,0.0005437349,0.001947732],"category_scores_gemma":[0.0002312442,0.0002822487,0.0005186714,0.0002995684,0.0002869881,0.0002569464,0.0003657441,0.0009346972,0.0006935347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004644635,"about_ca_system_score_gemma":0.0005232408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129251,"about_ca_topic_score_gemma":0.003384261,"domain_scores_codex":[0.999696,0.00004114098,0.00004184472,0.00008494753,0.00009244512,0.00004360256],"domain_scores_gemma":[0.9998558,0.00002281214,0.00005168388,0.00002893303,0.00002206957,0.00001870487],"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":[0.00003495766,0.00001846846,0.0001013898,0.00004738792,0.00001063293,0.00005760257,0.000009512908,0.0003886172,0.9960925,0.000332567,0.0001255169,0.002780793],"study_design_scores_gemma":[0.00001134626,0.00008632402,0.001011183,0.000004106433,0.00002256415,0.0003392804,0.000007867709,0.001996157,0.9887609,0.00009662301,0.00764725,0.00001639593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.721911,0.001635618,0.2596934,0.0004385006,0.0002271978,0.0005438359,0.004393502,0.002739748,0.008417237],"genre_scores_gemma":[0.8065321,0.001117054,0.1750495,0.0001866488,0.00001946903,0.0003117833,0.00583492,0.0005359791,0.01041251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001947732,"threshold_uncertainty_score":0.006515801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774999224538712,"score_gpt":0.2934497100654763,"score_spread":0.2756997178200892,"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."}}