{"id":"W3099399169","doi":"10.1101/677203","title":"Perturbing proteomes at single residue resolution using base editing","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Université Laval","keywords":"Computational biology; CRISPR; Genome editing; Proteome; RNA editing; Guide RNA; Biology; Gene; Cytidine; Genetics; Context (archaeology); Genome; Cytidine deaminase; Cas9; RNA; Enzyme","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":[0.0004748253,0.000316214,0.0003367409,0.0002319521,0.0001801551,0.0004530473,0.0002831632,0.0003523909,0.00068495],"category_scores_gemma":[0.000618248,0.0001874352,0.0002739686,0.0002024641,0.0002663255,0.0002558939,0.0003602988,0.0007456488,0.0002776164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002523173,"about_ca_system_score_gemma":0.0001455759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002833858,"about_ca_topic_score_gemma":0.0004055396,"domain_scores_codex":[0.9997841,0.00003249661,0.00002087885,0.00005967535,0.00008172404,0.00002122466],"domain_scores_gemma":[0.999525,0.0001883748,0.0001244738,0.00007825221,0.00004144976,0.00004249471],"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":[0.00003244999,0.000008652113,0.0003272673,0.00001995826,0.000008630572,0.00003643631,0.000006947052,0.0006071778,0.9980797,0.00004793443,0.00002545371,0.0007992974],"study_design_scores_gemma":[0.000006155743,0.00007489332,0.001911389,0.000002619346,0.00001425934,0.0001651889,0.00001312605,0.004961735,0.9919001,0.000126034,0.0008152418,0.000009340008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759595,0.0004291855,0.02180106,0.0001028933,0.00003929934,0.00002845751,0.0005774154,0.000454511,0.0006076904],"genre_scores_gemma":[0.9740201,0.0003350128,0.02431685,0.00006427456,0.000009182838,0.00002629449,0.0005157011,0.0001234644,0.0005890629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00068495,"threshold_uncertainty_score":0.002511144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454884433299833,"score_gpt":0.2436064466724995,"score_spread":0.2290576023395012,"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."}}