{"id":"W3206048415","doi":"10.15252/msb.202110335","title":"High‐efficiency delivery of CRISPR‐Cas9 by engineered probiotics enables precise microbiome editing","year":2021,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"CRISPR; Biology; Genome editing; Microbiome; Cas9; Computational biology; Genetics; Gene","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":[0.0004576107,0.0004788186,0.0003754336,0.0002775177,0.0001761786,0.00065379,0.0003638866,0.0004715237,0.001268067],"category_scores_gemma":[0.000448128,0.0002366897,0.0002961908,0.0001727892,0.0003559683,0.000294106,0.0004897194,0.0009132887,0.0004875585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000337053,"about_ca_system_score_gemma":0.0003687401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005298033,"about_ca_topic_score_gemma":0.001110205,"domain_scores_codex":[0.9995585,0.00006284075,0.00004843349,0.00009997623,0.0001653613,0.00006484419],"domain_scores_gemma":[0.9997151,0.00006223577,0.0001014318,0.00004872259,0.00003130459,0.00004108225],"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":[0.00002179981,0.00001650255,0.00008966079,0.00001773482,0.000003778307,0.00001739925,0.000007027077,0.0001491973,0.9980489,0.0001327554,0.00003111166,0.001464115],"study_design_scores_gemma":[0.000005546602,0.00009540585,0.0005086892,0.000002976187,0.000006713827,0.00006532512,0.000006689942,0.001452993,0.9958709,0.00004478739,0.001934635,0.000005277499],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837109,0.0009965996,0.1100468,0.0003632652,0.0001109111,0.0001638817,0.0007053654,0.0009811417,0.002921015],"genre_scores_gemma":[0.9454075,0.0005850949,0.04928754,0.00007994085,0.00001271922,0.00007873827,0.0005797618,0.0001527481,0.003816004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268067,"threshold_uncertainty_score":0.004242063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003842842298421581,"score_gpt":0.2490996015674397,"score_spread":0.2452567592690181,"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."}}