{"id":"W3204910154","doi":"10.1101/2021.10.06.463037","title":"Impact of Essential Genes on the Success of Genome Editing Experiments Generating 3,313 New Genetically Engineered Mouse Lines","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences; Medical Research Council; PHENOMIN; Université de Strasbourg; Institut National de la Santé et de la Recherche Médicale; European Molecular Biology Laboratory; Akademie Věd České Republiky; Ministry of Education, Culture, Sports, Science and Technology; Wellcome Trust; Agence Nationale de la Recherche; Ministero dell’Istruzione, dell’Università e della Ricerca; Genome Canada; Ontario Genomics; Centre National de la Recherche Scientifique","keywords":"Biology; CRISPR; Gene; Genetics; Allele; Null allele; Genome editing; Cas9; Germline; Computational biology; Gene knockout; Phenotype; Genome engineering; Function (biology)","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":[0.008949489,0.0007378032,0.001087577,0.001423782,0.0005215128,0.00136081,0.000650796,0.0007239935,0.001821771],"category_scores_gemma":[0.01076635,0.0003081459,0.0006486581,0.0007273898,0.00082362,0.0007735954,0.001285593,0.001348255,0.0007058743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006587628,"about_ca_system_score_gemma":0.000477521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004387688,"about_ca_topic_score_gemma":0.0009452565,"domain_scores_codex":[0.9929541,0.001708218,0.000953981,0.001069011,0.002704443,0.000610415],"domain_scores_gemma":[0.9671162,0.0213405,0.004112427,0.003582133,0.002369828,0.00147894],"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":[0.001245718,0.0002836285,0.02955031,0.0003368497,0.000223436,0.0002995954,0.0001139002,0.004227996,0.9342043,0.0005590661,0.0004313463,0.02852398],"study_design_scores_gemma":[0.00003070794,0.001333795,0.05618189,0.00004846645,0.0003691279,0.0007336709,0.0001269723,0.01165598,0.9257712,0.000685034,0.002984639,0.00007852332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718335,0.001581984,0.02127665,0.0001667102,0.00005822017,0.0001062496,0.001957295,0.0005929773,0.002426415],"genre_scores_gemma":[0.9873644,0.0004755842,0.008361773,0.00008583852,0.000008734636,0.0001035767,0.001945892,0.0004041604,0.001250085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008949489,"threshold_uncertainty_score":0.04732996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077294598591492,"score_gpt":0.2701615765456679,"score_spread":0.2593886305597529,"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."}}