{"id":"W6964760289","doi":"10.26036/cnphis0000669","title":"Global genomic epidemiology of Salmonella Typhimurium DT104","year":2015,"lang":"en","type":"dataset","venue":"China National GeneBank DataBase","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transmission (telecommunications); Phylogenetic tree; Whole genome sequencing; Phylogenetics; Divergence (linguistics); Molecular epidemiology; Sequence (biology); Salmonella; Phylogenomics; Multilocus sequence typing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002998324,0.0002538145,0.0002151553,0.001305499,0.000144067,0.0004318766,0.0001357229,0.0002208993,0.0006013896],"category_scores_gemma":[0.0006559669,0.0001372771,0.00030398,0.001532524,0.0002775087,0.0002644455,0.000457239,0.0002249468,0.00009019589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004097328,"about_ca_system_score_gemma":0.0003002726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007476068,"about_ca_topic_score_gemma":0.007763022,"domain_scores_codex":[0.9997783,0.00004946142,0.00001820667,0.00008846805,0.00003215285,0.00003333231],"domain_scores_gemma":[0.9995661,0.00006444113,0.000205747,0.00002655567,0.000076313,0.0000608624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002373702,0.00002830825,0.9519432,0.0001022446,0.0001538472,0.0002542284,0.0008993857,0.002805546,0.02768502,0.0003408519,0.0002600162,0.01529008],"study_design_scores_gemma":[0.000004151374,0.0001515144,0.9961856,0.00002174188,0.000060213,0.0003899701,0.000583862,0.001049321,0.0004990099,0.0001197079,0.000925869,0.000009005773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9977864,0.0003370189,0.0007679799,0.00004477761,0.000002645208,0.000007746759,0.000522645,0.00001395248,0.0005167873],"genre_scores_gemma":[0.9977125,0.0003362029,0.0007187482,0.00002264377,0.000004252545,0.0000058211,0.001066545,0.000004876325,0.0001284641],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.007476068,"threshold_uncertainty_score":0.0148651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0780616150060384,"score_gpt":0.363982508778664,"score_spread":0.2859208937726256,"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."}}