{"id":"W4244026361","doi":"10.1038/srep25666","title":"Harnessing heterologous and endogenous CRISPR-Cas machineries for efficient markerless genome editing in Clostridium","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centurion Biofuels (Canada); McMaster University; University of Waterloo","funders":"","keywords":"CRISPR; Genome editing; Cas9; Biology; Computational biology; Genome; Heterologous; Plasmid; In silico; Gene; Genetics","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":[0.0003440954,0.0004261534,0.0002680445,0.0003061009,0.0002969486,0.0004306739,0.0003258223,0.0003119962,0.0006423898],"category_scores_gemma":[0.0003256428,0.0001549221,0.0003465523,0.0003631792,0.0002062063,0.0002607236,0.0005755419,0.0007453962,0.0003387827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005565831,"about_ca_system_score_gemma":0.0006798361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572254,"about_ca_topic_score_gemma":0.002367742,"domain_scores_codex":[0.9995771,0.00004051494,0.00004005308,0.00007483822,0.0001710396,0.00009656794],"domain_scores_gemma":[0.9998015,0.00002922892,0.00006558358,0.00003360541,0.00002547312,0.00004471046],"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":[0.00003687801,0.00001917727,0.0002977814,0.00006123455,0.000003645005,0.00008501422,0.00001917892,0.0002538557,0.9947394,0.0002951478,0.00006503495,0.004123691],"study_design_scores_gemma":[0.000007789359,0.0001546781,0.001590891,0.000008690386,0.00001345788,0.0004132615,0.00003605148,0.00150389,0.9921013,0.00008804822,0.004069751,0.00001218568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241575,0.00158731,0.06717272,0.000390538,0.0001225828,0.0001483845,0.001008222,0.0006110204,0.004801657],"genre_scores_gemma":[0.937793,0.0008961433,0.05748665,0.00009408484,0.00001069309,0.0000480029,0.001178596,0.00009858907,0.002394137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001572254,"threshold_uncertainty_score":0.004038334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145641474261784,"score_gpt":0.2676898195738991,"score_spread":0.2562334048312813,"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."}}