{"id":"W2800614641","doi":"10.1101/321208","title":"Versatile and robust genome editing with <i>Streptococcus thermophilus</i> CRISPR1-Cas9","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval; Centre Hospitalier Universitaire de Sherbrooke; Centre hospitalier universitaire de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Agence Nationale de la Recherche; University of California, San Francisco; Banting Research Foundation","keywords":"Genome editing; Genome; Phenotype; CRISPR; Cytosine; Complement (music); Synthetic biology; DNA","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":[0.0003926868,0.0004596042,0.0003272394,0.0002798444,0.0002838476,0.0006369973,0.0003468782,0.0004296399,0.001372889],"category_scores_gemma":[0.0003725478,0.0002743854,0.0003271221,0.0002443125,0.0003746645,0.0002720055,0.0006561374,0.0008227944,0.0008431459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491953,"about_ca_system_score_gemma":0.0004005379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006741292,"about_ca_topic_score_gemma":0.001140351,"domain_scores_codex":[0.9995553,0.00006414856,0.0000566229,0.0001005799,0.0001708421,0.00005247731],"domain_scores_gemma":[0.999757,0.00003985277,0.00007600608,0.00006753258,0.0000244083,0.00003519011],"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":[0.00002941864,0.000008424209,0.0001279424,0.0000220164,0.00000402949,0.00005728691,0.00001880912,0.0002742034,0.9964336,0.0004658551,0.0001289445,0.002429364],"study_design_scores_gemma":[0.000005068891,0.00003210829,0.0004551724,0.00000367693,0.000004203801,0.0001717731,0.000007760748,0.001318302,0.9935039,0.0001328908,0.004358768,0.000006397573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195574,0.0007636277,0.1642147,0.0003519177,0.0001440262,0.0002325644,0.002102502,0.003689985,0.008943264],"genre_scores_gemma":[0.9347991,0.000502861,0.05559831,0.00008999464,0.0000181894,0.0001044642,0.001385964,0.0005406354,0.006960437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001372889,"threshold_uncertainty_score":0.004592836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007747920425789544,"score_gpt":0.2213574875363198,"score_spread":0.2136095671105302,"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."}}