{"id":"W3148684946","doi":"10.1371/journal.pone.0249079","title":"Population structure, case clusters, and genetic lesions associated with Canadian Salmonella 4,[5],12:i:- isolates","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Atlantic Veterinary College; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Ministry of Education, India; Government of Canada; Canadian Food Inspection Agency; Alberta Agriculture and Forestry","keywords":"Salmonella; Biology; Prophage; Serotype; Antibiotic resistance; Population; Salmonella enterica; Genetics; Microbiology; Genotype; Pulsed-field gel electrophoresis; Mobile genetic elements; Clade; Antibiotics; Genome; Gene; Bacteria; Phylogenetics; Bacteriophage; Escherichia coli; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003636702,0.0002471129,0.000298925,0.002133638,0.001071587,0.0007967835,0.0004929281,0.000380547,0.001358204],"category_scores_gemma":[0.001172748,0.0002988367,0.000326043,0.001684668,0.0006368543,0.0001895381,0.0004416148,0.0003851565,0.000160309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00306139,"about_ca_system_score_gemma":0.003200383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5271245,"about_ca_topic_score_gemma":0.6064183,"domain_scores_codex":[0.9991965,0.00003384622,0.00004052957,0.0002856845,0.0002418605,0.0002015478],"domain_scores_gemma":[0.999105,0.00006500053,0.000250513,0.00005753425,0.0003552527,0.0001666942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003441101,0.00004675664,0.9647423,0.00003804842,0.00006068905,0.0002786355,0.001166971,0.0004378833,0.0265832,0.0001093949,0.0002632012,0.005928687],"study_design_scores_gemma":[0.000003616914,0.00005564785,0.9978687,0.000004279099,0.00001843858,0.0001975471,0.0005363161,0.0003277606,0.0006194456,0.00001799937,0.0003387565,0.00001138632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986582,0.00008559033,0.0001498591,0.00001757998,0.000002088703,0.00002205297,0.0004943961,0.000006634879,0.0005634723],"genre_scores_gemma":[0.9981911,0.0001017836,0.000334737,0.00001405249,0.000002829765,0.00001004459,0.0009186348,0.000004231944,0.0004226092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4728755,"threshold_uncertainty_score":0.9513208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416782975008778,"score_gpt":0.202254684064384,"score_spread":0.1605763865635062,"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."}}