{"id":"W4392860407","doi":"10.1101/2024.03.14.585084","title":"A random mutagenesis screen enriched for missense mutations in bacterial effector proteins","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Effector; Biology; Saccharomyces cerevisiae; Mutagenesis; Genetics; Legionella pneumophila; In silico; Computational biology; Mutant; Cell biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004537108,0.0006129488,0.0004754123,0.0006710609,0.0002550774,0.000323517,0.0003722022,0.000411442,0.0009451763],"category_scores_gemma":[0.0004638968,0.0002296972,0.0003921717,0.0005715537,0.0001798271,0.0001024881,0.0003369612,0.0003491084,0.0004374793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233153,"about_ca_system_score_gemma":0.0002872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007045403,"about_ca_topic_score_gemma":0.001990494,"domain_scores_codex":[0.9995162,0.000102275,0.00006919709,0.000102778,0.0001548884,0.00005458848],"domain_scores_gemma":[0.9995265,0.0001740338,0.0001096114,0.00006417339,0.00006515695,0.00006054137],"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":[0.00009906665,0.000103093,0.001263221,0.00003590561,0.00002898453,0.0002018814,0.00002050368,0.0003195423,0.9956031,0.00004867076,0.0000642942,0.002211764],"study_design_scores_gemma":[0.00003905788,0.001086988,0.01535944,0.00001488905,0.0001518284,0.001947581,0.00006995218,0.004686986,0.9742663,0.00005075079,0.002307033,0.0000192981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852517,0.0003808542,0.01095888,0.00007669957,0.00002190115,0.0002242752,0.001753824,0.0003681972,0.0009637765],"genre_scores_gemma":[0.9821124,0.000310316,0.01279413,0.00009356253,0.00001060181,0.00009844518,0.002874076,0.0002025514,0.001503858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009451763,"threshold_uncertainty_score":0.003161967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321072916288864,"score_gpt":0.2536769881435114,"score_spread":0.2404662589806227,"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."}}