{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007621902,0.0001001293,0.00008291195,0.00006016858,0.00005415879,0.000009358002,0.0001784838,0.0001983655,0.000004861053],"category_scores_gemma":[0.00005744432,0.0000889759,0.00002902897,0.0001033656,0.00003381847,0.000005167009,0.00004037183,0.000187429,7.965028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003162281,"about_ca_system_score_gemma":0.00002579663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007558839,"about_ca_topic_score_gemma":0.0005204646,"domain_scores_codex":[0.9995144,0.00002985364,0.0001212825,0.0001642752,0.00004667314,0.0001234998],"domain_scores_gemma":[0.9994551,0.00005102942,0.00002010405,0.0003883215,0.00004405356,0.00004137173],"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":[0.000009959714,0.00002398971,0.00227933,0.0000106497,0.00001668839,1.048122e-7,0.00003127995,0.000615257,0.994548,0.00001208325,0.0001300819,0.002322532],"study_design_scores_gemma":[0.00192041,0.00009584552,0.06803132,0.0001277261,0.00006259614,0.000009901288,0.00006731714,0.004441801,0.8098956,0.000007276618,0.1148133,0.0005269343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589692,0.0327993,0.006595355,0.001224675,0.00009783827,0.000192937,0.00005330348,0.00002618164,0.00004114255],"genre_scores_gemma":[0.9927566,0.005007963,0.001900199,0.00008408321,0.00004057447,0.00008344081,0.00006767411,0.00001695989,0.00004247922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1846525,"threshold_uncertainty_score":0.3628332,"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."}}