{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127022,0.0001540738,0.0001411733,0.00005941362,0.0001595548,0.00006469402,0.0002247725,0.00009641423,0.0000774613],"category_scores_gemma":[0.00007130543,0.0001382202,0.00003593676,0.0002317716,0.0001323018,0.000004386036,0.0002880798,0.0002611079,0.00002963681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528028,"about_ca_system_score_gemma":0.00006759341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001778608,"about_ca_topic_score_gemma":0.00001117357,"domain_scores_codex":[0.9985266,0.00005952946,0.0001416699,0.0004799083,0.0002921381,0.0005001425],"domain_scores_gemma":[0.999282,0.00002153147,0.00002366453,0.0002831761,0.0001261787,0.0002634392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008295918,0.00001814356,0.001060677,0.00009290084,0.00006216231,0.00002868767,0.0005237383,0.003621287,0.9924209,0.00001338497,0.0005647286,0.001510429],"study_design_scores_gemma":[0.004258676,0.004830587,0.04100801,0.00007410108,0.00007477228,0.0001325379,0.005440957,0.002882089,0.408442,0.00006249249,0.5311123,0.00168151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750019,0.004650126,0.01114468,0.001780354,0.00005269684,0.000681644,0.0000580762,0.00004511036,0.006585441],"genre_scores_gemma":[0.9972315,0.0004097473,0.0009941687,0.0001519595,0.0008960759,0.00004328005,0.0000645793,0.00004447528,0.0001642207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5839789,"threshold_uncertainty_score":0.5636458,"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."}}