{"id":"W2997388470","doi":"10.1101/gr.255414.119","title":"Versatile and robust genome editing with <i>Streptococcus thermophilus</i> CRISPR1-Cas9","year":2020,"lang":"en","type":"article","venue":"Genome Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; Centre hospitalier de l'Université Laval; Centre Hospitalier Universitaire de Sherbrooke; Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Fondation du Grand défi Pierre Lavoie; National Institutes of Health; Agence Nationale de la Recherche; University of California, San Francisco; National Institute of General Medical Sciences; Banting Research Foundation","keywords":"Biology; CRISPR; Cas9; Genome editing; Computational biology; Streptococcus thermophilus; Genetics; Genome; Cytosine; DNA; Gene; Bacteria","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":[0.0003122331,0.0004095536,0.0002713251,0.0002348287,0.000220971,0.0005005107,0.0003196558,0.0003241746,0.0009515107],"category_scores_gemma":[0.0002846677,0.0002085191,0.0002869033,0.0001961886,0.0003457689,0.0002199085,0.0005110194,0.0006520604,0.0005117674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019808,"about_ca_system_score_gemma":0.0003367006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005512838,"about_ca_topic_score_gemma":0.001075346,"domain_scores_codex":[0.9996743,0.00005043791,0.00004438396,0.00006765146,0.0001227416,0.00004055808],"domain_scores_gemma":[0.9997841,0.00003567788,0.00008148053,0.0000454577,0.0000208461,0.00003240361],"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":[0.00002554349,0.000007867142,0.00009022842,0.0000195157,0.000003112647,0.00004469251,0.00001235669,0.0002283292,0.9972663,0.0003234916,0.00006188996,0.001916818],"study_design_scores_gemma":[0.000003927983,0.00004843757,0.0004265896,0.000003445153,0.000004484853,0.0001679456,0.000007790881,0.001222043,0.9948117,0.00008823683,0.003209422,0.000005982152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8461994,0.0007487182,0.1422704,0.0002543399,0.0001144656,0.0002202443,0.001391472,0.002298464,0.006502462],"genre_scores_gemma":[0.945076,0.0005319201,0.04800949,0.00007172431,0.00001293795,0.00009531078,0.0009449109,0.0002807186,0.00497694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009515107,"threshold_uncertainty_score":0.003183067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119857332022864,"score_gpt":0.3296058049842609,"score_spread":0.2884072316640323,"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."}}