{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007804439,0.0001525536,0.0001535752,0.00009712081,0.0001695488,0.00009962609,0.00008394771,0.00008652311,0.00000883162],"category_scores_gemma":[0.0001978325,0.0001184692,0.00006206534,0.00008876621,0.0001575541,0.000004830561,0.0001180214,0.00004213403,0.00000101494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002082455,"about_ca_system_score_gemma":0.00005047368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008423539,"about_ca_topic_score_gemma":0.00003204945,"domain_scores_codex":[0.9984621,0.00002272877,0.0003381159,0.0006641271,0.000133107,0.000379767],"domain_scores_gemma":[0.9993212,0.00002126172,0.0001097119,0.0003954715,0.00006870439,0.00008364011],"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":[0.00002246032,0.00002323187,0.003840884,0.00003538615,0.000009189612,0.00006439233,0.00009612973,0.0004485577,0.9900845,0.000004060065,0.0002109228,0.005160325],"study_design_scores_gemma":[0.0004659609,0.0000814306,0.004816438,0.00004571652,0.00001538973,0.0007403572,0.00008777697,0.0003051538,0.967573,0.0002062081,0.02537755,0.0002850021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738331,0.001231617,0.02202917,0.0001167648,0.002313997,0.0003023331,0.00001336089,0.00001766654,0.0001420061],"genre_scores_gemma":[0.9984497,0.00001782743,0.0007614733,0.00001663519,0.0002203425,0.00004404975,0.00004555883,0.00002207103,0.0004222984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02516662,"threshold_uncertainty_score":0.4831032,"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."}}