{"id":"W4210704726","doi":"10.3389/fmicb.2021.815911","title":"Genome Mining Shows Ubiquitous Presence and Extensive Diversity of Toxin-Antitoxin Systems in Pseudomonas syringae","year":2022,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; University of Toronto; U.S. Department of Agriculture","keywords":"Antitoxin; Virulence; Biology; Genome; Gene; Pseudomonas syringae; Genetics; Mobile genetic elements; Bacterial genome size; Plasmid; Microbiology; Toxin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000337199,0.0003543549,0.0004724676,0.002210734,0.0004404651,0.0006281895,0.000184775,0.0003301877,0.001164243],"category_scores_gemma":[0.0009347471,0.0001273562,0.0006466109,0.003187873,0.0002492815,0.0004739998,0.000432471,0.0003635735,0.0003783819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722287,"about_ca_system_score_gemma":0.0003360446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106767,"about_ca_topic_score_gemma":0.001458897,"domain_scores_codex":[0.9996505,0.00003431431,0.00002935781,0.0001497263,0.00009240695,0.00004377356],"domain_scores_gemma":[0.9993821,0.0002135091,0.0002111318,0.00004289524,0.00007187756,0.00007846333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008845464,0.0001881782,0.3111933,0.002593521,0.0005048045,0.002353676,0.001105369,0.001754091,0.5524036,0.0006680193,0.002523371,0.1238274],"study_design_scores_gemma":[0.0000342801,0.0003392588,0.9417015,0.0001337636,0.000501577,0.004642719,0.001131849,0.003970558,0.03054472,0.0009877296,0.01595723,0.00005485576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806426,0.003932951,0.004624092,0.0002490504,0.00001496836,0.00002624254,0.00925617,0.0002426789,0.001011298],"genre_scores_gemma":[0.9690856,0.002166732,0.00863526,0.0001020291,0.0000200255,0.00002780653,0.01953173,0.00006028279,0.000370576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002210734,"threshold_uncertainty_score":0.003894806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459426424660871,"score_gpt":0.1871888868970031,"score_spread":0.1725946226503944,"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."}}