{"id":"W2980736275","doi":"10.35691/jbm.7102.0080","title":"Characterization of Different Molecular Markers for Identification of Salmonella Enterica Serovar Typhi in Pakistani Population","year":2017,"lang":"en","type":"article","venue":"Journal of Bioresource Management","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Flagellin; Typhoid fever; Serotype; Salmonella enterica; Salmonella typhi; Serology; Biology; Salmonella; Primer (cosmetics); Microbiology; Gene; Virology; Population; Medicine; Genetics; Antibody; Bacteria; Escherichia coli; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002733354,0.0002740998,0.0001382294,0.0007526284,0.0002783837,0.0003040585,0.0001242576,0.0003064692,0.0008757064],"category_scores_gemma":[0.0009566448,0.0001676908,0.0001318592,0.0003146755,0.0002584119,0.0001589662,0.0001395194,0.0002371821,0.0002090566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242058,"about_ca_system_score_gemma":0.0001460626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379572,"about_ca_topic_score_gemma":0.002461131,"domain_scores_codex":[0.9997604,0.00004747577,0.00001639564,0.00006717055,0.00005450963,0.0000539397],"domain_scores_gemma":[0.9996037,0.0001100989,0.0001352073,0.00001760744,0.00008269218,0.0000506701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103584,0.00008103008,0.970573,0.00002762752,0.0000208834,0.000482405,0.0007921898,0.00007593771,0.01929689,0.00004450358,0.0001234041,0.00837175],"study_design_scores_gemma":[0.000005969273,0.0003892808,0.9935412,0.00001505623,0.00001942255,0.001335981,0.001075219,0.0002661903,0.002748966,0.00004690126,0.0005497642,0.000006033114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99918,0.0001084175,0.0002438092,0.00002854544,0.00000339684,0.000008901431,0.0000810468,0.000001874803,0.0003440472],"genre_scores_gemma":[0.9992338,0.00009275226,0.0003430118,0.00001906189,0.000003440805,0.0000063973,0.0001002639,9.886145e-7,0.0002002494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002379572,"threshold_uncertainty_score":0.004731476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356212223725529,"score_gpt":0.2480196144589346,"score_spread":0.2344574922216794,"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."}}