{"id":"W4384944593","doi":"10.1139/gen-2023-0007","title":"Genomic analysis of the MLST population structure and antimicrobial resistance genes associated with <i>Salmonella enterica</i> in Mexico","year":2023,"lang":"en","type":"article","venue":"Genome","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Biology; Salmonella enterica; Genetics; Multilocus sequence typing; Salmonella; Gene; Antimicrobial; Antibiotic resistance; Population; Microbiology; Genotype; Bacteria","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002584819,0.0001819014,0.0001668317,0.0009897999,0.0002828195,0.0004034659,0.0001485664,0.0002178304,0.0005305295],"category_scores_gemma":[0.0005353517,0.0001497467,0.0002892405,0.0007983929,0.0001868985,0.0001247355,0.0002447398,0.0002145589,0.0000670902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602583,"about_ca_system_score_gemma":0.0003446151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02185834,"about_ca_topic_score_gemma":0.01783536,"domain_scores_codex":[0.9998503,0.00001536945,0.00001383166,0.00006254909,0.00002724202,0.00003069055],"domain_scores_gemma":[0.9996569,0.00003036898,0.0002230358,0.00001559464,0.00004474977,0.0000292126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004017781,0.00006001115,0.9202347,0.00007726224,0.0001103012,0.0001954216,0.0006207565,0.0004176257,0.06652778,0.00008427362,0.0002568694,0.01101312],"study_design_scores_gemma":[0.000004233042,0.00005064156,0.9983987,0.000006879383,0.00002236578,0.00005041762,0.0001622155,0.0001343769,0.0006896335,0.000006142979,0.0004721805,0.000002246913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989318,0.0001024714,0.0001548501,0.00002495684,0.000002037744,0.000006162987,0.0005898786,0.000003214253,0.0001845468],"genre_scores_gemma":[0.9959598,0.0002176206,0.0008328902,0.00002518396,0.000005450394,0.00001831825,0.002704069,0.000003386384,0.0002331564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02185834,"threshold_uncertainty_score":0.04346222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314471874401729,"score_gpt":0.2069695023728126,"score_spread":0.1938247836287953,"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."}}