{"id":"W2239226089","doi":"10.1186/s12864-016-2381-3","title":"Increasing genomic diversity and evidence of constrained lifestyle evolution due to insertion sequences in Aeromonas salmonicida","year":2016,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; National Brain Research Centre; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Aeromonas salmonicida; Biology; Subspecies; Genome; Genetics; Phylogenetic tree; Comparative genomics; Phylogenetics; Gene; Insertion sequence; Pseudogene; Psychrophile; Aeromonas; Genomics; Genome evolution; Evolutionary biology; Bacteria; Zoology","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":[0.000143264,0.0002288911,0.0002029024,0.0008907762,0.000259075,0.0003338722,0.0002281847,0.0003645838,0.001780875],"category_scores_gemma":[0.000437368,0.0001375309,0.0003217106,0.000931908,0.0002757924,0.0001798585,0.0004777753,0.0004124235,0.0003177271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676894,"about_ca_system_score_gemma":0.0001686848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008354811,"about_ca_topic_score_gemma":0.0009073885,"domain_scores_codex":[0.9998165,0.00001354938,0.00001697552,0.00008034263,0.0000360145,0.00003672552],"domain_scores_gemma":[0.9993352,0.0001180123,0.0002811262,0.00005569839,0.0001036912,0.0001063],"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":[0.0005571337,0.00005955711,0.1256599,0.0001724564,0.00008161411,0.0003140284,0.0003852524,0.0001748517,0.8659307,0.0000894942,0.000095681,0.006479159],"study_design_scores_gemma":[0.00001000351,0.0002372,0.9789524,0.00001772999,0.00005465447,0.0008637135,0.000376919,0.0002774448,0.01801772,0.0000992344,0.001083226,0.000009754905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998442,0.0002149837,0.0003011616,0.00002151524,0.000002961317,0.000005585845,0.0005293885,0.00001764813,0.0004647549],"genre_scores_gemma":[0.9978808,0.0001103017,0.0005020361,0.00002812116,0.000004250802,0.00001052493,0.001172655,0.000005900809,0.0002854316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001780875,"threshold_uncertainty_score":0.005957603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251305847529528,"score_gpt":0.2319576392885618,"score_spread":0.2094445808132665,"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."}}