{"id":"W4402992229","doi":"10.1038/s41598-024-72418-8","title":"Impact of essential genes on the success of genome editing experiments generating 3313 new genetically engineered mouse lines","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; SickKids Foundation; University of Manitoba; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"NIH Office of the Director; Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences; European Regional Development Fund; Medical Research Council; PHENOMIN; Common Fund; Université de Strasbourg; Institut National de la Santé et de la Recherche Médicale; European Molecular Biology Laboratory; Akademie Věd České Republiky; Centre National de la Recherche Scientifique; Ministerstvo Školství, Mládeže a Tělovýchovy; National Human Genome Research Institute; Wellcome Trust; Agence Nationale de la Recherche; Genome Canada; National Institutes of Health; Ontario Genomics; Univerzita Karlova v Praze","keywords":"Genetically engineered; Genome editing; Gene; Genome; Genetically modified organism; Computational biology; Biology; Genetics","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":[0.008288803,0.0008734297,0.001151507,0.00138824,0.0004613496,0.001563125,0.0007341008,0.0007033143,0.00226787],"category_scores_gemma":[0.01149534,0.0003648719,0.0005328702,0.0006624988,0.000919906,0.0009155418,0.001399848,0.001368468,0.0008569281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038579,"about_ca_system_score_gemma":0.0006183968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005886069,"about_ca_topic_score_gemma":0.001340262,"domain_scores_codex":[0.9910898,0.002273371,0.001564088,0.001309803,0.002975185,0.0007878161],"domain_scores_gemma":[0.9613642,0.02384158,0.00586642,0.003585345,0.003423843,0.001918583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00091859,0.0002415643,0.01724681,0.0003850704,0.0001542415,0.0003498881,0.000119336,0.001601196,0.9529471,0.0004577492,0.0002851365,0.0252932],"study_design_scores_gemma":[0.00002257437,0.001613995,0.04673506,0.00007244274,0.0003630288,0.0008833643,0.0001766757,0.00535212,0.9396701,0.0004658742,0.004567512,0.00007717434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643705,0.003677405,0.02489253,0.0002937075,0.0000825127,0.0002001218,0.001485837,0.0005328011,0.00446454],"genre_scores_gemma":[0.9861009,0.001199503,0.008909081,0.0001359098,0.0000122867,0.0001203955,0.001292816,0.0004322101,0.001796897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008288803,"threshold_uncertainty_score":0.04383588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097939685123387,"score_gpt":0.3141578634381978,"score_spread":0.303178466586964,"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."}}