{"id":"W4310114315","doi":"10.1101/2022.11.26.518041","title":"Functional diversification despite structural congruence in the HipBST toxin-antitoxin system of <i>Legionella pneumophila</i>","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Government of Ontario; U.S. Department of Health and Human Services; National Institutes of Health; Canadian Institutes of Health Research; Ontario Genomics; Genome Canada","keywords":"Legionella pneumophila; Biology; Antitoxin; Gammaproteobacteria; Toxin; Effector; Microbiology; Escherichia coli; Genetics; Bacteria; Gene; Cell 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":[0.0001309188,0.0002169919,0.0001663449,0.0002895512,0.0001653127,0.0004054824,0.0001609416,0.0002376505,0.0007311685],"category_scores_gemma":[0.000187577,0.0001115601,0.0002219592,0.0002507369,0.0002350363,0.0001920209,0.0003207609,0.0003437221,0.0003529628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002569224,"about_ca_system_score_gemma":0.0001599859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005979816,"about_ca_topic_score_gemma":0.0004700943,"domain_scores_codex":[0.9998637,0.00001802839,0.00001434668,0.00003366884,0.00003821472,0.00003192399],"domain_scores_gemma":[0.9997922,0.00002134891,0.00006148717,0.00003426045,0.00003285808,0.00005791315],"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":[0.00004162853,0.000007081213,0.001977962,0.00001376498,0.000005371538,0.00006718693,0.00002369916,0.00002023427,0.9968611,0.00004464717,0.00001754524,0.0009197707],"study_design_scores_gemma":[0.00002169048,0.0004996587,0.2847758,0.00001499399,0.00006454275,0.003669311,0.0003976401,0.001063857,0.7057956,0.0001997378,0.00348075,0.00001633812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985369,0.0002043995,0.0004722907,0.00003635369,0.000003512487,0.000003624725,0.0001580048,0.00002547061,0.0005593207],"genre_scores_gemma":[0.998188,0.00007773983,0.0005610696,0.00003582482,0.000002375868,0.000005475116,0.0005327911,0.0000123342,0.0005843865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007311685,"threshold_uncertainty_score":0.002445996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659592392523452,"score_gpt":0.2310421274628885,"score_spread":0.214446203537654,"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."}}