{"id":"W3212237750","doi":"10.3389/fmars.2021.744052","title":"Genomic Perspectives on Aeromonas salmonicida subsp. salmonicida Strain 890054 as a Model System for Pathogenicity Studies and Mitigation of Fish Infections","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval","funders":"Genome Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Fonds de recherche du Québec – Nature et technologies; Université Laval; National Science Foundation","keywords":"Aeromonas salmonicida; Biology; Plasmid; Aquaculture; Microbiology; Aeromonas; Virulence; Genome; Pathogenicity island; Bacteria; Gene; Fishery; Genetics; Fish <Actinopterygii>","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":[0.0002283115,0.0004133258,0.0003485908,0.0003339597,0.0002449873,0.0005047671,0.0002793219,0.0003445157,0.0009633867],"category_scores_gemma":[0.0003014283,0.000109505,0.0004627805,0.0005369815,0.0001499762,0.0002406337,0.0004581801,0.0005501799,0.0003681075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988616,"about_ca_system_score_gemma":0.0004989956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003108329,"about_ca_topic_score_gemma":0.002874298,"domain_scores_codex":[0.9998794,0.00002491955,0.00001000052,0.00003545878,0.00002815183,0.00002205852],"domain_scores_gemma":[0.99988,0.00002859599,0.00002592065,0.00001224162,0.00002448825,0.00002883556],"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":[0.000333852,0.00008853641,0.002538748,0.0001566874,0.00001859264,0.0002257668,0.0001123669,0.001140874,0.9870268,0.000566893,0.0002971953,0.007493786],"study_design_scores_gemma":[0.0001748733,0.004875336,0.1663969,0.0003179027,0.0004522357,0.001808213,0.002506695,0.047693,0.6913403,0.004532216,0.07972062,0.0001817555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798063,0.0009271678,0.009460367,0.0005080553,0.00004842175,0.00005775043,0.006646292,0.0001984701,0.002347079],"genre_scores_gemma":[0.9370135,0.001756978,0.02768362,0.0001931838,0.00003067214,0.0001124125,0.03042324,0.0001222577,0.002664079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003108329,"threshold_uncertainty_score":0.006180465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010672903105139,"score_gpt":0.2519229553789981,"score_spread":0.2412500522738591,"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."}}