{"id":"W4286685058","doi":"10.1002/bit.28190","title":"From functional genomics of vero cells to CRISPR‐based genomic deletion for improved viral production rates","year":2022,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Vero cell; Biology; CRISPR; ISG15; Virology; Functional genomics; Gene; Virus; Viral replication; Genetics; Genome; Genomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000922411,0.0001160545,0.0001152037,0.0001085494,0.0000830295,0.000005127304,0.00009176134,0.0001315592,0.000006087467],"category_scores_gemma":[0.00001962407,0.0001338741,0.00004585618,0.00007764222,0.0000293817,0.000002026555,0.0001077286,0.00008810257,4.348243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002640484,"about_ca_system_score_gemma":0.00002426728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001228963,"about_ca_topic_score_gemma":0.000004145227,"domain_scores_codex":[0.9993522,0.000007077315,0.0001519378,0.0002950897,0.00003528883,0.0001583887],"domain_scores_gemma":[0.9997243,0.000007919169,0.00003684952,0.0001762922,0.00002423451,0.00003041328],"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":[0.0001247033,0.00001909861,0.00003295334,0.00001794538,0.00003596633,1.512252e-7,0.00001341036,0.03844631,0.9595004,0.00002793969,0.000217199,0.00156389],"study_design_scores_gemma":[0.000325339,0.0003530726,0.0004039289,0.00000294954,0.00002096656,0.000003768552,0.00006256041,0.01105278,0.968174,0.00002256683,0.01943165,0.0001464265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7537428,0.0005222684,0.2445035,0.0004378616,0.0004332393,0.000233143,0.00009729208,0.00002902395,9.564399e-7],"genre_scores_gemma":[0.9879459,0.00004385362,0.01148736,0.00005501429,0.0001779979,0.00008404842,0.0001585597,0.00002037604,0.00002685283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2342032,"threshold_uncertainty_score":0.5459227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006331138571204507,"score_gpt":0.2351738186657961,"score_spread":0.2288426800945916,"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."}}