{"id":"W2805844312","doi":"10.1016/j.nmni.2018.05.007","title":"Completion of genome of Aeromonas salmonicida subsp. salmonicida 01-B526 reveals how sequencing technologies can influence sequence quality and result interpretations","year":2018,"lang":"en","type":"article","venue":"New Microbes and New Infections","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire de Cardiologie et de Pneumologie de Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aeromonas salmonicida; Biology; Whole genome sequencing; Pyrosequencing; Genome; Genetics; Strain (injury); Pathogen; Microbiology; Sequence (biology); Sequence assembly; Computational biology; Bacteria; Gene; Transcriptome","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":[0.004405752,0.000605983,0.0005643306,0.0008179936,0.000766253,0.00181788,0.0004294759,0.0009863282,0.001856837],"category_scores_gemma":[0.01155506,0.0004625586,0.001028262,0.0008412898,0.000530254,0.001080725,0.0007751039,0.002043025,0.001298682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006610744,"about_ca_system_score_gemma":0.001386789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352355,"about_ca_topic_score_gemma":0.004977605,"domain_scores_codex":[0.9972245,0.0007217973,0.0002600759,0.000618003,0.0009715124,0.000204244],"domain_scores_gemma":[0.9917645,0.003544395,0.001117806,0.00101944,0.002159602,0.0003942768],"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":[0.000742678,0.0001178519,0.02200342,0.0009341531,0.000122767,0.0005605103,0.001137048,0.002340327,0.9310666,0.001210144,0.001341648,0.03842282],"study_design_scores_gemma":[0.00008844131,0.001324988,0.160801,0.0006772368,0.0005312095,0.001641071,0.00203292,0.01998223,0.7537286,0.006474258,0.05246717,0.0002507533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795167,0.00281181,0.09312061,0.002614364,0.0004816872,0.0002285336,0.01234614,0.002290063,0.00659008],"genre_scores_gemma":[0.7806522,0.001248011,0.1820483,0.0008961883,0.00009432738,0.0001685126,0.02994721,0.001821562,0.003123735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004405752,"threshold_uncertainty_score":0.02330011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235095998156341,"score_gpt":0.290495591346717,"score_spread":0.2481446313651536,"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."}}