{"id":"W2300360330","doi":"10.1038/ncomms10770","title":"Multiplexed pancreatic genome engineering and cancer induction by transfection-based CRISPR/Cas9 delivery in mice","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Partenariat Canadien Contre Le Cancer; Deutschen Konsortium für Translationale Krebsforschung; Helmholtz-Gemeinschaft","keywords":"CRISPR; Pancreatic cancer; Biology; Genome editing; Cas9; Computational biology; Genome engineering; Context (archaeology); Genetics; Gene; Cancer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473322,0.0008313701,0.0004720663,0.001092909,0.0003397044,0.0007908239,0.0007642712,0.0009842555,0.002280036],"category_scores_gemma":[0.0003149219,0.0006625415,0.0007512903,0.000468249,0.0006897085,0.0005058229,0.0008899579,0.001516635,0.0009019648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005432208,"about_ca_system_score_gemma":0.0005695962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004819333,"about_ca_topic_score_gemma":0.000956032,"domain_scores_codex":[0.9991886,0.00008753993,0.00009172707,0.0002994735,0.0002289343,0.0001037045],"domain_scores_gemma":[0.9995065,0.00007101904,0.0001979377,0.0001008986,0.00002651268,0.00009711763],"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":[0.00005890559,0.00002771752,0.0001330548,0.00002674182,0.000009652594,0.00005784425,0.00002092205,0.0002921492,0.9968586,0.0005487801,0.00007624875,0.001889455],"study_design_scores_gemma":[0.00001567682,0.0001439388,0.0006765196,0.000008025978,0.00001608934,0.0003216746,0.000007431542,0.001830096,0.9927586,0.0001426273,0.004069318,0.00001003287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6016871,0.001517311,0.3806103,0.0004535511,0.0002058713,0.0008232546,0.003628213,0.004645488,0.00642889],"genre_scores_gemma":[0.8198966,0.001765133,0.1592636,0.000200318,0.0000365615,0.0009097467,0.002352192,0.0006591934,0.01491665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002280036,"threshold_uncertainty_score":0.007627428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007032272479904737,"score_gpt":0.2785222959415714,"score_spread":0.2714900234616667,"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."}}