{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005530614,0.00008982734,0.0002731433,0.0000499768,0.00005268136,0.0000244345,0.00029893,0.00005416344,0.00001489844],"category_scores_gemma":[0.00004155167,0.00004226438,0.0001356812,0.00006679069,0.00003680902,0.00006733178,0.00006063973,0.00004318316,4.212866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003164539,"about_ca_system_score_gemma":0.000001231324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005046445,"about_ca_topic_score_gemma":0.00001296438,"domain_scores_codex":[0.9987873,0.00008494128,0.0007221381,0.0001256979,0.000161051,0.000118814],"domain_scores_gemma":[0.9981954,0.00004480231,0.001544459,0.0001019572,0.00007989437,0.00003347778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003069375,0.0001435162,0.1566679,0.00006493353,0.00005229779,0.000003583509,0.00005947893,0.0000229273,0.8046557,0.0002530183,0.00001790649,0.03775183],"study_design_scores_gemma":[0.000269734,0.0002494263,0.9876056,0.00007027634,0.00003967513,0.000001712355,0.0001569956,0.0002520088,0.0106373,0.0003328385,0.0003207111,0.00006366856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983896,0.00002169772,0.0007425286,0.0004065286,0.000130152,0.0002462403,0.0000158428,0.000002680517,0.00004471819],"genre_scores_gemma":[0.9996078,0.00008373422,0.0001369158,0.00003051964,0.00006276369,0.000005073558,0.00003756136,0.000001347822,0.00003426138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8309378,"threshold_uncertainty_score":0.1723491,"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."}}